Gen AI Developer

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.

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