ZipRecruiter

Log In

1

Generative Ai Developer Jobs in Washington (NOW HIRING)

B5 Recruiting

AI Engineer

Washington, DC

AI Developer -- Generative AI / LLM Engineering Employment Type: Full-Time - Washington, DC Clearance: Public Trust eligible required About the Role We are placing a Generative AI Developer with a ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · On-site +1

$57.25 - $73.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

OpenDataJobs

Senior Generative AI Engineer

Washington, DC · On-site +1

$62.50 - $80.75/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

OpenDataJobs

Senior Generative AI Engineer

Potomac, MD · Remote

$56.50 - $73/hr

Our client is seeking a Senior Generative AI Engineer to drive internal initiatives and provide AI engineering support for a major federal agency. The role centers on developing cloud-native ...

Steampunk

AI Developer

Mclean, VA

$145K - $185K/yr

We are seeking an experienced AI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role will ...

Steampunk

AI Developer

Mclean, VA

$145K - $185K/yr

Overview We are seeking an experienced AI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role ...

DivIHN

AI Developer

Washington, DC · On-site

Demonstrated expertise in developing solutions using Visual Studio Code, Python, and other programming languages to harness generative AI and large language models (LLMs). * Develop AI tool/program ...

Steampunk

AI Developer

Mclean, VA · On-site +1

$145K - $185K/yr

Overview We are seeking an experienced AI Developer to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This role ...

Steampunk

AI Developer / Product SME

Mclean, VA

$145K - $185K/yr

Overview We are seeking an experienced AI Developer / Product SME to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution ...

Steampunk

AI Developer / Product SME

Mclean, VA

$145K - $185K/yr

We are seeking an experienced AI Developer / Product SME to serve as a technical authority and product-focused subject-matter expert across our predictive and generative AI solution portfolio. This ...

next page

Showing results 1-20

People also search for

All JobsGenerative Ai Developer JobsGenerative Ai Developer Jobs in Washington

Generative Ai Developer information

See Washington salary details

$21

$51

$114

How much do generative ai developer jobs pay per hour?

As of May 31, 2026, the average hourly pay for generative ai developer in Washington is $51.29, 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 the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

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 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 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 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 are popular job titles related to Generative Ai Developer jobs in Washington? For Generative Ai Developer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Washington look for? The top searched job categories for Generative Ai Developer jobs in Washington are:
What cities in Washington are hiring for Generative Ai Developer jobs? Cities in Washington with the most Generative Ai Developer job openings:
Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Washington as of May 2026, with employment types broken down into 38% Full Time, 58% Part Time, and 4% Contract. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $106,690 per year, or $51.3 per hour.

AI Engineer

B5 Recruiting

Washington, DC

Full-time

Posted 13 hours ago

Job description

AI Developer — Generative AI / LLM Engineering

Employment Type: Full-Time - Washington, DC

Clearance: Public Trust eligible required

About the Role

We are placing a Generative AI Developer with a federal agency. This is a hands-on engineering role focused on moving AI solutions from proof-of-concept into secure, scalable production environments. You will design and deploy LLM-powered applications, RAG pipelines, and agent-based workflows supporting mission-critical federal operations. This role is for engineers who have shipped real systems — not just prototypes.

Key Responsibilities

  • Design and develop LLM-powered applications using modern AI frameworks
  • Build and optimize RAG pipelines integrating structured and unstructured data
  • Develop agent-based AI workflows for automation and decision support
  • Engineer NLP pipelines for classification, summarization, and extraction
  • Build and maintain backend APIs in Python (FastAPI preferred)
  • Deploy to Azure cloud (App Services, AKS, Azure AI Search)
  • Containerize and deploy applications using Docker
  • Implement and maintain CI/CD pipelines
  • Optimize for performance, scalability, and reduced hallucination risk
  • Collaborate cross-functionally to deliver production-ready AI solutions

Required Qualifications

  • 8+ years of software development experience
  • 3+ years building AI/ML or Generative AI systems
  • Strong Python development skills
  • Hands-on LLM experience (OpenAI, Azure OpenAI, or similar)
  • RAG architecture experience
  • Vector database experience (FAISS, Pinecone, Azure AI Search, etc.)
  • Production API experience — FastAPI preferred
  • Docker and containerized deployments
  • Azure cloud services experience
  • U.S. Citizen or Green Card holder eligible for Public Trust clearance

Preferred Qualifications

  • Azure OpenAI experience
  • LangChain or Semantic Kernel
  • Multi-agent AI system design
  • React or Node.js exposure
  • Prior federal or regulated environment experience
  • Mentorship or architecture leadership




Requirements
  • 8+ years of software development experience
  • 3+ years building AI/ML or Generative AI systems
  • Strong Python development skills
  • Hands-on LLM experience (OpenAI, Azure OpenAI, or similar)
  • RAG architecture experience
  • Vector database experience (FAISS, Pinecone, Azure AI Search, etc.)
  • Production API experience — FastAPI preferred
  • Docker and containerized deployments
  • Azure cloud services experience
  • U.S. Citizen or Green Card holder eligible for Public Trust clearance