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Generative Ai Developer Jobs in Washington, DC (NOW HIRING)

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

Overview We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong ...

Steampunk

Senior AI Developer

Mclean, VA · On-site

$140K - $190K/yr

We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong ...

Thomson Reuters

Generative AI & Machine Learning Engineer

Mclean, VA · On-site

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and DevOps. You will be a contributing member of a Software Engineering team that supports ... As a Generative AI and Machine Learning Engineer , you will: * Experiment and Develop: You will ...

AIToolboard

Data Scientist - NLP / Generative AI

Arlington, VA · On-site

$150 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Jobs / Data Scientist - NLP / Generative AI Data Scientist - NLP / Generative AI Full-time About ... This is a hands-on research and engineering role where you will own the design and delivery of NLP ...

Doist

Data Scientist - NLP / Generative AI

Alexandria, VA · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Data Scientist - NLP / Generative AI Location: Hybrid - Arlington, Virginia Employment Type ... This is a hands‑on research and engineering role where you will own the design and delivery of ...

New

Merican

AWS AI Engineer

Herndon, VA · On-site

Onsite About the Role We are seeking a highly skilled AWS AI Engineer with strong hands-on experience in Kubernetes, EKS, and Generative AI systems. The ideal candidate will have deep expertise in ...

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All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Washington, DC

Generative Ai Developer information

See Washington, DC salary details

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$51

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How much do generative ai developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for generative ai developer in Washington, DC is $51.27, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $62.07 per hour, depending on experience, location, and employer.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are popular job titles related to Generative Ai Developer jobs in Washington, DC?

For Generative Ai Developer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Washington, DC look for?

The top searched job categories for Generative Ai Developer jobs in Washington, DC are:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Washington, DC as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 72% Physical, 4% Hybrid, and 24% Remote job distribution, with an average salary of $106,651 per year, or $51.3 per hour.

Senior AI Developer

Steampunk

Mclean, VA • On-site

$140K - $190K/yr

Other

Re-posted yesterday

Job description

Overview
We are looking for a highly skilled Senior AI Developer to design, build, and optimize advanced AI solutions across predictive, generative, and autonomous system domains. This role requires strong hands-on engineering capabilities, deep familiarity with modern AI architectures, and the ability to translate mission needs into robust, production-ready AI capabilities. The Senior AI Developer will work across the full stack of AI development, from data ingestion and model experimentation to application integration, orchestration, and deployment, and will collaborate closely with product teams, LLMOps engineers, designers, and mission stakeholders.
Contributions
  • Develop end-to-end AI solutions including LLM-powered applications, predictive ML models, multi-agent workflows, RAG pipelines, and specialized AI microservices.
  • Implement reusable AI components, libraries, and APIs that streamline application development and accelerate delivery across programs.
  • Integrate AI models with enterprise systems, APIs, data platforms, vector databases, and cloud-native services to deliver scalable mission capabilities.
  • Drive iterative experimentation, prototyping, and model improvement cycles in collaboration with Data Scientists and AI Evaluation Scientists.
  • Design and implement advanced prompt strategies, context management layers, retrieval systems, and LLM orchestration logic.
  • Build scalable inference services, optimize model performance, and collaborate with LLMOps to enable robust deployment, monitoring, and continuous improvement.
  • Translate user needs and mission workflows into intuitive, reliable AI-powered features through active partnership with designers and product teams.
  • Implement secure-by-design and trustworthy AI practices, including safety guardrails, input sanitization, content filtering, and integration of evaluation metrics.
  • Contribute to internal AI frameworks, code patterns, and shared accelerators that raise delivery quality across the AI & Data Exploitation Practice.
  • Mentor junior developers, conduct code reviews, and support engineering excellence across multi-disciplinary AI delivery teams.
  • Stay current with emerging AI techniques, libraries, foundation models, and agent frameworks, evaluating their applicability to client missions.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's, Master's, or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
  • 5+ years of hands-on software engineering experience, with at least 2+ years focused on AI/ML, generative AI, or LLM-driven application development.
  • Strong proficiency in Python and modern AI frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, or similar.
  • Demonstrated ability to design and develop production-grade AI applications, including APIs, back-end services, orchestration logic, and front-end integrations (when needed).
  • Experience implementing RAG architectures, embeddings, vector stores, and context retrieval patterns.
  • Familiarity with multi-agent orchestration frameworks, prompt engineering strategies, and advanced LLM interaction design.
  • Strong understanding of cloud platforms (AWS, Azure, GCP), including compute, serverless services, and security fundamentals for AI workloads.
  • Working knowledge of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI-based systems.
  • Experience with structured and unstructured data, document processing, and application integration with existing enterprise systems.
  • Understanding of responsible AI principles including safety, fairness, privacy, and model risk mitigation.
  • Strong analytical and communication skills with the ability to collaborate across engineering, design, and mission domains.
  • Proven experience mentoring teammates and raising the technical bar of development teams.
  • Local to the Washington, DC metro area preferred.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $140,000 to $190,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

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