Company: Interon IT Solutions
Country: United States
Type: Onsite
Employment: Full-time
Description: Gen AI 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
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