Gen AI Developer
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 *************