Full Stack Python Developer, Generative AI

ETHOS - Talent & Advisory; Washington, Baltimore (District of Columbia, MD); On-site; USD 120,000 - 160,000; Full time

Job summary

ETHOS - Talent & Advisory is seeking a hands-on full stack developer to bring Generative AI proofs of concept into a live federal production environment. This is a build role: you will write the Python, wire the models, ship the front end, and stand behind deployments.

You will collaborate with stakeholders to shape use cases, design end-to-end solutions on Azure or AWS, and ensure secure, scalable web applications integrating AI models. Familiarity with CI/CD, tests, and security is required.

Job description

We are hiring a hands on full stack developer to take Generative AI proofs of concept out of the sandbox and into a live federal production environment. This is a build role, not an architecture role: you will be writing the Python, wiring the models, shipping the front end, and standing behind what you deploy. The work supports a federal mission serving the American public, so we are looking for someone who is genuinely curious about what AI can do for people and equally serious about the risks of getting it wrong.

What You Will Do

• Sit with stakeholders to shape rough Generative AI use cases into something buildable, then build it end to end
• Design and ship proofs of concept on Azure AI and AWS Bedrock, front end through back end
• Stand up secure, scalable web applications that integrate Generative AI models and APIs
• Prototype fast, take the feedback, and iterate again the same week
• Integrate cloud services and own the deployment pipeline for what you build
• Document your designs and architecture so the next engineer is not reverse engineering your work
• Partner with data scientists, UI/UX designers, and project managers as one delivery team
• Run code reviews, write the tests, and chase down the defects before the demo

Required

• Master's plus 5 years, Bachelor's plus 7 years, or 13 or more years of experience in lieu of a degree
• 5 or more years in full stack development across both front end and back end
• 3 or more years writing production Python, with current language practices
• Hands on application development on Microsoft Azure and/or AWS
• Demonstrated integration of AI/ML models or APIs into working applications
• RESTful APIs, microservices architecture, and containerization with Docker or OpenShift
• Unit testing, continuous integration, and version control as daily habits, not aspirations
• Ability to explain a Generative AI concept clearly to someone who does not write code

Preferred

• Azure OpenAI Service, Azure AI Search, and Azure Vision in production, not just in a tutorial
• Working command of Retrieval Augmented Generation: chunking, embeddings, retrieval quality
• evaluation
• Python web frameworks for APIs and backend services (FastAPI, Flask, Django)
• Data preparation for RAG ingestion: cleaning, normalizing, and structuring source content
• Generative AI deployed to production on Azure infrastructure, including monitoring and security
• Jenkins, Azure DevOps, Bitbucket, and CI/CD practices that get quality releases out the door
• Compliance and security practice around sensitive personal data
• C# or Java
• Data science tooling: Jupyter, pandas, PyTorch
• A real point of view on ethical AI: fairness, transparency, accountability, and privacy