Generative AI Engineer

Client: Interon IT Solutions Location: Chantilly, VA (onsite) Employment: Full-time Experience: 1 5 years Work authorization: U.S. Citizen or Green Card holder Job Description Interon IT Solutions is seeking a hands-on Generative AI Engineer to develop AI-powered enterprise and healthcare products. The ideal candidate has built LLM applications and has experience deploying applications on AWS or another cloud platform. Responsibilities Build Generative AI applications using LLM APIs and Python. Develop RAG solutions that retrieve information from documents, databases, and other enterprise sources. Create AI agents and automated workflows with tool calling and API integrations. Build backend services and REST APIs using FastAPI or a similar framework. Implement embeddings, vector search, prompt design, structured outputs, and guardrails. Test applications for response quality, accuracy, latency, security, and cost. Deploy, monitor, and improve applications in a cloud environment. Collaborate with product and engineering teams to deliver production-ready features. Required Qualifications 1 5 years of experience in software development, AI/ML, or a related engineering field. Strong Python programming skills and experience developing REST APIs. Hands-on experience deploying or supporting applications on AWS or another cloud platform. Experience building LLM applications involving RAG, embeddings, or AI agents. Experience with LangChain, LangGraph, LlamaIndex, or a similar framework. Working knowledge of SQL, databases, Git, and software testing. Ability to work onsite in Chantilly, Virginia. Preferred Qualifications Experience with AWS services such as Bedrock, Lambda, API Gateway, S3, or RDS OpenAI APIs or Anthropic models Vector databases or PostgreSQL/pgvector Docker, CI/CD, GitHub Actions, or application monitoring React or TypeScript Healthcare, HR technology, workflow automation, or enterprise SaaS products Candidates with a working GenAI application or GitHub portfolio are encouraged to apply. Please send your resume to shagun.k@interonit.com for faster consideration. Show more Show less