Job ID: TX-590407)
Hybrid/Local (Austin ONLY) AI/ML Developer (15+) with LangChain/LangGraph/CrewAI/AutoGPT, RAG/vector database, Python, OpenAI/Hugging Face/Azure AI, LLMs/APIs, MCP, PII/PHI, governance/security and context engineering experience
Location: Austin, TX (HHSC)
Duration: 4 Months
Position will be 3 days remote with 2 days (Tues & Wed) required to be onsite at the location listed above. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius). Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.
Skills:
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
Description:
The Department of Information Resources (DIR) requires the services of 3 Software Developer 2, hereafter referred to as Worker, who meets the general qualification of Software Developer 2 and the specifications outlined in this document for the above-named customer.
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
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