
AI/ML Engineer / AI/ML Lead /AI/ML Architect - Austin, Texas (Hybrid)
Required Experience
AI/ML engineering or advanced data science
Proven track record in building and deploying production-grade autonomous agents
Experience in context engineering
Experience with LangChain, LangGraph, CrewAI, or AutoGPT
Experience implementing RAG architectures using vector databases
Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
Experience integrating LLMs via APIs
AI governance, model lifecycle management, and evaluation
Experience implementing and extending the Model Context Protocol (MCP) for secure access to data sources
Experience implementing AI guardrails, content filtering, and safety controls
Understanding data privacy and handling sensitive data (PII/PHI)
Preferred Experience
2+ years of experience building multi-agent or autonomous agentic workflows
2+ years of experience optimizing LLM cost, token usage, and performance
2+ years of familiarity with enterprise AI deployment patterns and scalability considerations