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Hire remote Touchdesigner Developer

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No exact match for this specialty yet — here are related experts from our network.

Aditya P.
Available Now
Verified in SoftDoesAditya P.
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Aditya P.
Available Now
Aditya P.Verified in SoftDoes
DevOps Engineer/ Site Reliability Engineer
US 🇺🇸English (B2)Senior
GoPythonUNIX Shell ScriptingPHP

Principal DevOps / Site Reliability Engineer with 14+ years of software engineering experience (including freelance development) and 9+ years of professional DevOps/SRE experience. Expert in designing and automating scalable cloud infrastructure across AWS, GCP, Azure, a company Cloud, with deep expertise in Kubernetes, Docker, OpenShift, Terraform, Ansible, GitOps (ArgoCD/FluxCD), CI/CD, Go, and Python. Experienced in building multi-cloud, high-availability platforms, infrastructure automation, cloud migrations, and developer platforms. Currently working as Principal Engineer at FOX, previously held senior engineering roles at Hippo Insurance, a company, and Morgan Stanley.

Andrea M.
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Verified in SoftDoesAndrea M.
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IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
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Andrea M.Verified in SoftDoes
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IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrea M.
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Andrea M.Verified in SoftDoes
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IT 🇮🇹English (C1)Senior
PythonLangChainLangGraphGoogle Cloud

I am a solutions architect and engineer with 5+ years of experience in designing and implementing cloud-based AI solutions. Solid skills across applied AI, software engineering, cloud architecture and DevOps practices, built on years of field experience, allow me to drive AI initiatives from concept to production, leveraging AI tools to boost delivery speed without compromising on deliverable quality.

Andrii V.
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Verified in SoftDoesAndrii V.
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CA 🇨🇦English (C1)Senior
PythonDjangoFastAPIFlask

Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrii V.
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Andrii V.Verified in SoftDoes
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Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Andrii V.
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Andrii V.Verified in SoftDoes
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Senior Python Developer with 11+ years of experience designing scalable backend systems and microservice architectures across data analytics, logistics, and fintech platforms. Proven track record leading engineering teams and delivering cloud-native solutions on AWS and Kubernetes. Recently led development of AI-powered and real-time observability platforms using modern Python frameworks and large-scale data technologies. Strong background in system architecture, distributed systems, and mentoring teams in Agile environments.

Boris S.
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Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
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Boris S.Verified in SoftDoes
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Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Boris S.
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Boris S.Verified in SoftDoes
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Senior AI/ML Engineer with 10+ years of experience designing and deploying large-scale machine learning and generative AI systems in production environments. Specialized in LLM architectures, agentic AI systems, distributed ML infrastructure, and end-to-end MLOps platforms. Proven track record of delivering high-impact AI products including diagnostic AI systems improving accuracy by 38% and enterprise ML platforms accelerating data pipelines by 40%. Experienced in leading cross-functional teams, architecting scalable AI platforms, and driving AI innovation across healthcare, enterprise analytics, and automation domains.

Eugene M.
Available Now
Verified in SoftDoesEugene M.
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ES 🇪🇸English (C2)Senior
AWSGoogle CloudKubernetesTerraform

10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
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Eugene M.Verified in SoftDoes
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10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Eugene M.
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Eugene M.Verified in SoftDoes
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10+ years in IT, 7+ years focused on DevOps/SysOps/SRE. Currently - Tech Lead at a U.S. company.

Hripsime S.
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Deep LearningMachine LearningInterpretabilityConvolutional Neural Networks

AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Hripsime S.
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AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

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AI engineer with 6+ years of professional experience, available to start a new challenging role in stimulating and innovative company.

Mario J.
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GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
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GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Mario J.
Available Now
Mario J.Verified in SoftDoes
Senior Data Engineer
GT 🇬🇹English (C1)Senior
PythonSQLPandasPySpark

Over the past 8 years, I have gained ample experience in ETL/ELT, Snowflake, Airflow, and Data Warehouse. I have been responsible for Data Lake Support and creating new ETL/ELT processes within AWS using either Snowflake, Glue, Airflow, dbt, Xplenty, Docker, or Custom Python Scripts with APIs. I have also worked as an Application Architect, which includes over 50 different services across AWS. I needed to create pipelines, organizations, and permissions within AWS Infrastructure to meet business requirements while optimizing costs. My previous work includes over four years as a Data Analyst, creating and supporting BI Tools like Sisense, Quicksight, and Power BI/Tableau. I managed and created dashboards, widgets, and Data Architecture with Sisense and Redshift. I was also the Support Engineer for Sisense Installation and Maintenance. I would describe myself as reliable and able to undertake complex situations with unique solutions. I have over 7 years of experience in the Data sector, over 17+ years of SQL experience, and 20+ years as a Developer. I’m also a mid-QA Automation Engineer, which gives me a better idea of the attention to detail a developer needs to attain to complete development within the time limit and without affecting PROD releases. My other skills include being a Sysadmin in both Windows and Linux environments, a company Web Services AWS, a company 365 Portal, JumpCloud, 1Password, and Slack. I also have DBA knowledge, including creating servers and Data Warehouses. I'm an expert in MS Office and can automate with macros. I’m also a Cybersecurity advocate since I’m always looking for ways to protect data and user permissions. I have been in Agile Development with Jira in Kanban and Scrum for the past 4 years. And I have also created bots to automatize process alerts and configurations with Slack APIs and AWS to help my teammates get prompt feedback from the ETL pipelines.

Raphael O.
Available Now
Verified in SoftDoesRaphael O.
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Raphael O.
Available Now
Raphael O.Verified in SoftDoes
Snr. Staff Software Engineer
US 🇺🇸English (Native)Senior
LeadershipAgileBig dataAPI design

I am a technical leader and problem solver who designs and delivers scalable, distributed software and AI systems that create measurable business value. I have led cross-functional teams and platform initiatives, translating complex requirements into reliable, production-ready solutions built on open standards. My experience spans architecting, mentoring, and driving execution across diverse technology stacks, with a strong focus on operational excellence, product impact, and long-term system sustainability.

Santiago G.
Available Now
Verified in SoftDoesSantiago G.
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Santiago G.
Available Now
Santiago G.Verified in SoftDoes
DevOps Engineer
US 🇺🇸English (C1)Senior
LinuxBashDockerAnsible

Energetic, adaptable, mission-focused and multilingual MBA professional with more than 20 years of experience in IT, Business Intelligence, Marketing and Finance in 4 multinationals. Proven track record of finding creative solutions to solving challenges. Effective presenter who collaborates well in teams and across divisions. Passion for learning and acquiring new skills every day.

Thierry M.
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Verified in SoftDoesThierry M.
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
AWSGoogle CloudAzureKubernetes

15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
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Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
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15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thierry M.
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Thierry M.Verified in SoftDoes
Senior Infrastructure / Production Engineer
US 🇺🇸English (C1)Senior
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15+ years of experience designing and operating large-scale distributed systems and latency-sensitive production platforms. Expertise in multi-region Kubernetes infrastructure, hybrid cloud environments, and production reliability engineering, with a strong focus on scalability, fault tolerance, observability, and operational automation. Deep experience building and operating hybrid bare-metal and cloud platforms (AWS, GCP), including Kubernetes infrastructure, traffic routing, CI/CD systems, and production observability stacks supporting globally distributed workloads. Strong background in incident response, Linux systems, networking, distributed systems troubleshooting, and infrastructure automation using Terraform and Python. Focused on end-to-end ownership of production infrastructure platforms while partnering closely with engineering teams to improve reliability, security, deployment consistency, and operational efficiency.

Thomas S.
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Verified in SoftDoesThomas S.
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Thomas S.
Available Now
Thomas S.Verified in SoftDoes
Technical leader at a company AI Core
DE 🇩🇪English (C1)Team Lead
LeadershipMentorshipGenerative AIPyTorch

Technical leader at a company AI Core, building and operating cloud-native AI platform services from prototype to production. Hands-on across backend engineering, distributed systems, and Kubernetes, driving technical direction and delivery across teams without direct authority.

Tzechung K.
Available Now
Verified in SoftDoesTzechung K.
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
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Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

Tzechung K.
Available Now
Tzechung K.Verified in SoftDoes
Lead AI/ML Developer
US 🇺🇸English (Native)Senior
Claude CodeOpenAI CodexGoogle AntigravityLLM Fine-Tuning

Software Engineer with 10+ years of AI/ML experience and proven expertise in developing LLM-powered applications, generative AI systems, and ad engines. Strong track record of scaling ML platforms from inception to 1,500+ users at a company, building production AI systems, and creating innovative ad solutions. Experienced in full software development lifecycle with deep knowledge of PyTorch, TensorFlow, and modern AI frameworks including LangChain, LangGraph, and various LLM APIs.

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What our Touchdesigner Developers can build

Not sure which engagement model fits?

SoftDoes takes full ownership of delivery, combining project management, engineering, design, and QA into one accountable team focused on successful outcomes.

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How to hire a Touchdesigner Developer

01
BROWSE PROFILESRIGHT NOW

Fill out a short form and see who's on the bench. Real profiles, verified histories.

02
Interview1-3 DAYS

Tell us what you need. We propose two or three candidates from the bench; you interview them directly.

03
OnboardWEEK ONE

Your engineer starts on your project. Contract, payments, and the guarantee run through us.

US VS. THE DATABASE

Time to Start
Talent Quality
Technical Vetting
Flexibility
Operational Overhead
Cost Efficiency
cursor
<SoftDoes>
Time to Start
1-2 weeks
Talent Quality
Senior-only engineers
Technical Vetting
Multi-stage screening
Flexibility
Scale up or down anytime
Operational Overhead
As managed as you want
Cost Efficiency
Competitive, fee-free
Talent Marketplaces
Time to Start
1-3 months
Talent Quality
Mixed experience levels
Technical Vetting
One screen, then gone
Flexibility
Contract restrictions
Operational Overhead
Partially managed
Cost Efficiency
Agency markup
In-House Hiring
Time to Start
2-6 months
Talent Quality
Depends on market
Technical Vetting
Internal responsibility
Flexibility
Long-term commitment
Operational Overhead
Fully internal
Cost Efficiency
Highest total cost

Frequently Asked Questions

Everything you need to know about deploying, scaling, and securing your neural agents with SoftDoes. Can’t find an answer?

How long does it take to hire a Touchdesigner Developer through SoftDoes?

The timeline depends on scope and seniority, but the typical window for a senior Touchdesigner Developer through SoftDoes is four to six weeks from initial technical discovery to accepted offer. That includes our architecture audit, profile engineering, sourcing from our pre vetted network, interviews, and any notice period the candidate may need. For remote or contract engagements where the technical requirements are sharply defined, placement can happen in as little as one to two weeks. Compare that to the three to six month grind most organizations experience with traditional recruiting channels, and the time savings alone often justify the engagement.

What does it cost to hire a Touchdesigner Developer?

Full time senior Touchdesigner Developers in the US market typically command base salaries in the range of USD 110,000 to 150,000 or more, depending on city, complexity, and the scope of live deployment experience required. Mid level roles generally fall between USD 75,000 and 110,000. Contract and freelance rates through curated networks run USD 60 to 100 or more per hour, with rates climbing for on site work, travel, or engagements that require hardware redundancy and fault tolerance. Beyond the direct pay, factor in hidden costs: hardware, display systems, live room calibration, TouchDesigner licensing (Pro versus Commercial), and the overhead of remote collaboration or travel. SoftDoes provides transparent pricing across all engagement models so you can plan your total investment without surprises.

What engagement models are available (dedicated hire, pod, contract)?

SoftDoes offers several engagement models to match your project lifecycle. A dedicated hire (full time, in house or remote) provides the deepest ownership and long term continuity, ideal for organizations with ongoing creative technology needs. Contract or freelance per project engagements work well for prototyping, specific installations, or spikes in creative demand, offering higher hourly flexibility without long term fixed cost. Our pod model (managed team) maintains senior oversight, shared infrastructure, and scalable output, reducing the risk of misalignment or quality drop that often comes with solo freelancers. We also offer contract to hire arrangements where you start with a contract engagement, evaluate fit in a real production environment, and then convert to a full time role if the match is right. In every model, our zero risk replacement guarantee protects your investment.

How do you ensure time zone alignment with a Touchdesigner Developer?

We prioritize hiring within overlapping time zones and define core collaboration hours at the start of every engagement. For US based clients, we often source remote talent from Latin America, Eastern Europe, or Canada, where three to five hours of daily overlap with US East or West is standard. For interactive installations or live events, we ensure the developer's availability aligns with local event times on site, including occasional travel when the project demands it. SoftDoes manages distributed teams with a central oversight node that aligns timing, status updates, and accountability so you never find yourself waiting until the next business day for a critical answer.

How does SoftDoes technically vet a Touchdesigner Developer?

Our vetting process goes far beyond resume screening. We start with a portfolio review that must include real world, live, or installation work with evidence of performance optimization, latency management, hardware integration, sensor and display and shader work. Candidates should have a strong video portfolio showcasing interactive installations, not just polished demo reels. Next, we run a live or take home technical test where candidates build a patch under constraints, solving a predetermined problem that tests architecture and performance thinking rather than trivia. Our senior engineers then conduct a code and patch review, evaluating internal architecture, version control discipline, maintainability, and documentation quality. Finally, we run a communication and production trial that includes simulated change requests and cross stakeholder collaboration exercises to assess how the candidate handles feedback, pressure, and ambiguity. Only candidates who clear every stage are presented to clients.

What happens if the Touchdesigner Developer isn't the right fit, or I need to scale up or down?

SoftDoes provides a zero risk replacement guarantee: if after the trial period the developer is not the right fit, we replace them at no additional cost. For scaling up, we add developers (junior or senior) under a modular architecture strategy that prevents combinatorial complexity in your codebase and patch networks. For scaling down, we ensure thorough documentation and ownership transfer so that reducing team size does not leave you with orphaned systems or undocumented patches. The goal is to give you complete flexibility to match your engineering resources to your project demands at every stage, without sacrificing code hygiene or delivery quality.

The Executive Guide to Hiring a Touchdesigner Developer

A single bad hire in creative technology can drain six figures in rework, blow a live event deadline, and torch your brand's credibility in front of thousands. The right Touchdesigner Developer, on the other hand, compresses timelines, stabilizes mission critical installations, and unlocks the kind of ambitious interactive content that separates market leaders from everyone else. This playbook delivers a field tested strategy to define, vet, and onboard top tier Touchdesigner Developer talent so you spend less time recruiting and more time shipping.

What Is Actually at Stake When You Hire Wrong

The Daily Realities That Separate a Senior Touchdesigner Developer from an Order Taker

Most hiring managers write a job spec listing "TouchDesigner and Python" and call it a day. That approach lands you a junior who can follow a tutorial but crumbles the moment a projector drops sync at a live event. Here is what a genuine senior creative technologist does every day that an order taker simply cannot:

  • Owns the entire system architecture. A senior TD expert does not just build patches. They plan real time performance pipelines, including GPU offload across TOPs, CHOPs, SOPs, DATs, MATs, and COMPs, shader optimization in GLSL, latency budgets, and fallback paths for live use. TouchDesigner includes this node based architecture precisely because production scale work demands modular, clean networks.
  • Integrates across hardware and protocols. Sensors, LED walls, MIDI, OSC, DMX, Artnet, Arduino, audio and video feeds, projection mapping. A senior Touchdesigner Developer understands how to link TouchDesigner to external control systems reliably in production, not just in a demo room. Experience with real world integration technologies like OSC and MIDI is not optional; it is table stakes.
  • Handles real world constraints without hand holding. Lighting conditions on site, display calibration, synchronization across multiple outputs, frame drops, hardware redundancy. Quick problem solving abilities are necessary for troubleshooting in live settings, and this kind of expertise only comes from years of commissioning work in the field.
  • Makes pragmatic tradeoffs between visual quality, performance, and stability. Balancing fidelity with latency, choosing resolution, managing rendering complexity, multithreading. Knowledge of GLSL and GPU programming is vital for sophisticated visual work, and deep understanding of performance profiling and GPU usage is crucial. A senior hire does not chase pixel perfection at the cost of a crashed show.
  • Communicates with creatives and nontechnical stakeholders. TouchDesigner requires clear communication among creative teams. The best Touchdesigner expert translates artistic vision into technical constraints and pushes back when a requested visual is infeasible under the timeline or hardware. Collaboration skills are important because these professionals often overlap with other creative technology roles in design, video, and event production.
  • Maintains code structure, mentors others, and documents everything. Core TouchDesigner proficiency involves building clean and modular networks. That means version control, standardized patch hierarchies, reusable components, and writing comments so the next engineer does not start from zero. Strong Python skills significantly differentiate expert level TouchDesigner candidates from those who just drag nodes around.

The Business Case: Why the Right Hire Pays for Itself

Hiring a Touchdesigner Developer is not a cost center. It is an investment with measurable returns when you get it right, and catastrophic downside when you do not. Replacing a senior role can cost up to 250% of their annual compensation when you factor in lost productivity, rework, recruitment fees, and reputational damage.

  • Technical debt reduction. Every poorly built project patch becomes exponentially more expensive to extend, debug, or scale, especially when used across a tour or repeated brand activations. The right hire eliminates this compounding drag on your engineering budget.
  • Faster deployment cycles. Senior talent builds prototypes that transition to production without the typical firefight. Fewer last minute scrambles on site, lower risk of a catastrophic "showbreak," and more predictable delivery milestones.
  • Infrastructure optimization. Efficient GPU and CPU usage, correct hardware and software pairing, scalable content pipelines. This translates directly to lower hardware cost per activated pixel or sensor, which adds up fast across multiple interactive installations.
  • Risk mitigation. Live events and installations carry inherent failure risk. A senior Touchdesigner Developer plans for redundancy, tests thoroughly, and builds robust error handling, reducing the total cost of failure in time, money, and reputation.

How to Prepare Before You Start Seeking Candidates

Audit Your Technical Constraints Before Writing a Single Job Spec

Skipping this step is the most common and most expensive mistake. You must understand your own starting point before you can define the right hire.

Architecture and Debt Audit

Inventory your existing TouchDesigner networks, performance profiles, and hardware stack (GPUs, display controllers, sensors). Identify where previous builds are brittle or over engineered. How modular and maintainable are your current patches? Are there version control practices in place? Do these patches scale to high resolution or multiple screens? Where are the bottlenecks: latency, synchronization glitches, hardware failures on site, or maintainability? This audit defines what your new hire must fix first, and it prevents you from writing a generic job spec that attracts the wrong kind of talent.

Team Dynamics and Autonomy Level

Decide whether the Touchdesigner Developer role is embedded inside a cross functional pod (designer, engineer, product) or operates as a standalone specialist. How much autonomy does the role carry? Is the developer expected to lead creative direction, or work under a creative director? Does the scope include mentorship of others? What support in design, hardware, and operations is already in place versus gaps that this hire will need to fill? Answering these questions before you start your search prevents months of misalignment after the hire is made.

Deployment Model Dynamics

In house FTE versus remote contractor versus a dedicated squad or pod: each comes with distinct cost, risk, and management overhead. Does your project require someone who can travel for installation and calibration, or can the work be done remotely? Will the hire need access to thick client environments, display labs, or specialized hardware? Factor in license costs for TouchDesigner (Pro versus Commercial), hardware budget, and ongoing maintenance. Making sure your organization is prepared to support the technology environment is just as important as finding the right person.

Building a Profile That Attracts Senior Talent, Not Generic Applicants

Stop copying job descriptions from job boards. Align your profile to outcomes, stack, authority, and growth.

  • Core outcome and mission. What is the measurable impact this role should deliver in the first 90 days, six months, twelve months? For example: reduce failure incidents in installations by a specific target, ship a set number of high profile experiential projects, or eliminate rework cycles. Hiring requires defining project specifications related to technical and hardware needs upfront.
  • Technical stack reality. Go beyond "TouchDesigner and Python." Specify shader programming (GLSL, possibly Vulkan or Metal), sensor protocols (MIDI, OSC, DMX), signal flow, GPU versus CPU workload distribution, multiview and multiscreen support, and hardware integration. Proficiency in Python and GLSL is critical for Touchdesigner developers, and your spec should reflect that. TouchDesigner supports real time generative art, interactive UIs, and audio reactive visual projects, so specify which of these types of work the role will actually involve.
  • Decision making authority. Define what this hire can decide independently (hardware purchases, visual style, performance tradeoffs) versus what requires approval. Senior engineers need empowerment to make the right calls under pressure, especially during live deployments.
  • Growth trajectory. Where can this person go? Technical Lead, Creative Tech Director, ML plus TD specialist? Mapping the trajectory is how you retain scarce talent long term.
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How to Vet and Onboard Without Losing Months

A Vetting Framework That Actually Filters for Production Readiness

Sourcing Reality

Traditional recruiters almost never have the domain expertise to evaluate Touchdesigner freelancers or freelance TouchDesigner artists. Resumes exaggerate project scope, and portfolio reels can be misleading without context. Community specific hubs are useful for sourcing TouchDesigner talent, including creative technology forums, TouchDesigner communities, and curated talent networks. Internal referrals from past project collaborators remain one of the highest signal channels. Look for portfolios with interactive art and event visuals. A good TouchDesigner portfolio shows interactive installations, dynamic video projections, and custom visual effects that were actually displayed in production, not just rendered in a demo environment. Evaluate portfolios based on relevant technical accomplishments in similar projects, and check past project timelines to assess a freelancer's realism. Reviews indicate how well freelancers met client expectations.

Technical Evaluation Pipeline

Forget trivia questions about node types. Here is what actually filters for senior capability:

  • Live problem solving. Assign the candidate a test to build a small interactive patch that includes a shader, sensor input, and performance monitoring. This reveals whether they understand visual programming, can write code under constraints, and can think in real time. TouchDesigner experts should know visual programming, and experience with a node based interface is essential. Interactive experiences can respond to user actions in real time, and your test should simulate exactly that.
  • Real world scenario architecture review. Present an existing TouchDesigner patch or network and ask the candidate to identify bottlenecks, propose refactors, and explain performance improvements. This is where you separate the programmers who understand real time performance optimization from those who just sort nodes into groups.
  • Communication under pressure. Simulate a last minute project change or an on site failure. How does the candidate react? Do they speak clearly to nontechnical stakeholders? Do they propose structured fallback options, or do they freeze?
  • Cross functional culture fit. The candidate must collaborate effectively with designers, production teams, and operations. TouchDesigner professionals often overlap with other creative technology roles, so assess their background in working across disciplines. Discussions on ownership and documentation are essential in TouchDesigner agreements, and this is the stage to explore how they handle those calls.

A 90 Day Ramp Up Plan That Delivers Immediate ROI

Do not leave onboarding to chance. Set clear goals and deadlines from the start.

  • Day 30. The new hire has accessed all hardware and software, understood the existing codebase and patches, contributed small bug fixes or minor features, set up their working environment, and aligned with key stakeholders. They should be ready to discuss the existing architecture with your team and identify the most urgent technical debt.
  • Day 60. Owning a full small project end to end: delivering visuals or an interactive installation component, testing and deploying in a lab environment, making performance tradeoff decisions, and pairing with or mentoring another team member. Projects can include dynamic video projections and custom visual effects at this stage.
  • Day 90. Releasing work to a client or live environment. Delivering measurable outcomes such as installations completed with fewer latency errors and fewer rework rounds. Proposing optimizations or refactors to reduce technical debt in existing pipelines. At this milestone, you should have clear data on whether the hire is a long term fit.

How to Make the Final Decision with Confidence

The Interview Signals That Predict Success or Disaster

Red Flags

  • Tool obsession without systems thinking. The candidate talks about mastering every latest shader plugin or hardware gadget but cannot discuss system stability, latency budgets, or failure scenarios. TouchDesigner freelancers should handle complex multimedia projects, and a fixation on tools over outcomes is a warning sign.
  • Inability to discuss past failures. If every project was a success, every deadline was met, and every client was thrilled, you are talking to someone who either lacks experience or lacks self awareness. Hiring a TouchDesigner expert requires a blend of technical skills and problem solving ability, and problem solving only sharpens through real failure.
  • Overgeneralized portfolio. Generic demo reels with no production or live examples, no evidence of interactive installations, and no context about scope or role. Candidates should have a strong video portfolio showcasing interactive installations, not just polished renders.
  • Poor documentation and version control practices. Complex patches without comments, no git usage, no standardized naming conventions. This kind of work does not survive contact with a team or a second project phase.

Green Flags

  • Pragmatic tradeoff analysis. The candidate can say "we could achieve 4K visuals, but the hardware cost and power draw make 1080p the right call for this venue." This shows depth and real world experience.
  • Focus on data and system integrity. They talk about performance metrics, frame rate targets, sync protocols, and resource usage before they talk about visual style. Real time performance optimization is key for TouchDesigner applications, and the best candidates lead with it.
  • Proactive risk identification. They point out network latency concerns, hardware failure modes, and fallback strategies before you ask. This is the kind of expertise that saves a live event from becoming a public embarrassment.
  • Proven experience in high pressure or live environments. They have been on site when things went wrong, and they can tell you exactly what happened and how they fixed it. They speak design concepts clearly, understand production constraints, and have mentored others through the process.

Why Engineering Leaders Choose SoftDoes

Most organizations explore two paths when they need to hire a Touchdesigner Developer: the traditional recruitment grind (three to six months, high risk, no performance guarantee) or the freelance marketplace gamble (fast but unmanaged, inconsistent quality, zero accountability). SoftDoes offers a third path that eliminates the worst failure modes of both.

  • Battle tested senior talent. Every Touchdesigner Developer in our services portfolio has proven experience in both live deployment and real time graphics, not just artistic renders. We do not place juniors on mission critical work.
  • Engineering led delivery oversight. This is not unmanaged freelancer chaos. SoftDoes provides structured senior oversight, performance monitoring, and quality gates throughout the engagement. Your project gets the discipline of an engineering organization, not just an individual contributor.
  • Rapid deployment capability. When your timeline is measured in weeks, not months, our pre vetted network means you can have a senior Touchdesigner Developer integrated with your team faster than any traditional recruitment pipeline can deliver.
  • Flexibility to scale up or down. Add more engineers for a major activation, then scale back after delivery. Our pod model maintains technical hygiene across transitions so you never end up with orphaned systems.
  • Zero risk replacement guarantee. If the fit is not right after the trial period, we replace the developer at no added cost. The goal is eliminating the financial and operational risk of a bad hire entirely.

Your Next Step: From Reading to Results

If you are seeking a Touchdesigner Developer who can own your real time systems from architecture through live deployment, the next move is straightforward. Book a technical discovery session with our architects. We will audit your current constraints, define the right profile, and match you with senior talent who has done this kind of work before.

Reach out to our team to start the conversation.

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