Austin, TX
Software Developer - Solicitation# 529601688
Texas Health and Human Services Commission (HHSC)
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.
Position will be 3 days remote with 2 days (Tues & Wed) required to be onsite. Program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY (Within 50-mile radius). **Subject to change per the hiring team**
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.
Actual
Years
Experience
Years
Experience
Needed
Required/
Preferred
Skills/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
I need Three References
Reference Name ( Required ):
Title (Optional)
Company Name ( Required ):
Phone Number ( Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End-User Subordinate
Reference Name ( Required ):
Title (Optional)
Company Name ( Required ):
Phone Number ( Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End- User Subordinate
Reference Name ( Required ):
Title (Optional)
Company Name ( Required ):
Phone Number ( Required include area code):
E-mail address (Optional):
Professional Relationship (Optional):
Peer Co-Worker Supervisor
Customer End- User Subordinate