Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

4

Required

Experience in AI/ML engineering or advanced data science

4

Required

Proven track record of building and deploying production-grade autonomous agents.

4

Required

Strong experience in context engineering

4

Required

Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.

4

Required

Experience implementing RAG architectures using vector databases

4

Required

Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)

4

Required

Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation

4

Required

Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls

4

Required

Understanding of data privacy and handling of sensitive data (PII/PHI)

2

Preferred

Experience building multi-agent or autonomous agentic workflows

2

Preferred

Experience optimizing LLM cost, token usage, and performance

2

Preferred

Familiarity with enterprise AI deployment patterns and scalability considerations