Jobs · Engineering · Virginia

Gen AI Developer

Interon IT Solutions · Chantilly, VA · 1 wk ago
Engineering$40/hrFull-time

About the role

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. Location: Chantilly, VA (onsite). Experience: 6+ Years. Pay rate: $40-$45/Hr on W2.

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.

Requirements

  • 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.

Skills

  • 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.

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