AI/ML Engineer - Austin, TX (Only Local Austin Texas)

Baytown, Texas, United StatesHybridFull TimePosted 2 months agoVisa sponsorship available

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Role summary

The AI/ML Engineer will be responsible for building and deploying production-grade autonomous agents and implementing RAG architectures. This role requires deep experience with AI/ML engineering principles, context engineering, and specific frameworks like LangChain, LangGraph, CrewAI, or AutoGPT. The engineer will also integrate LLMs via APIs, manage AI governance, and ensure secure data access. A strong understanding of data privacy, PII/PHI handling, AI guardrails, and safety controls is essential. Proficiency in Python and AI/ML libraries such as OpenAI, Hugging Face, and Azure AI is required. The position is hybrid, requiring 2 days onsite in Austin, TX.

Hi ,

Hope you are doing great

Please find the below requirement, let me your thought

Position : AI/ML Engineer

Location : Austin, TX (2 Days Onsite)

Client : Texas Health and Human Services Commission
Note : (Only Local Austin Texas)
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
If you are perfect suits please share update resume below mail id
yuvaraj.m@zirlen.com

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