Software Developer 1670

Austin, TX
Software Developer - Solicitation# 529601670
Texas Health and Human Services Commission (HHSC)

Level Description
4-7 years of experience in the field or in a related area. Familiar with standard concepts, practices, and procedures within a particular field. Relies on limited experience and judgment to plan and accomplish goals. A certain degree of creativity and latitude is required. Works under limited supervision with considerable latitude for the use of initiative and independent judgment.
Job Description
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
Additional job details and special considerations
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 is ONSITE/Hybrid at the location listed above (with some hybrid work – determined by the hiring manager). The program will only accept LOCAL ONLY candidates for this position.
 

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		experience in AI/ML engineering or advanced data science
	4		Proven track record of building and deploying production-grade autonomous agents.
	4		Strong experience in context engineering
	4		Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
	4		Experience implementing RAG architectures using vector databases
	4		Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
	4		Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
	4		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		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

 

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E-mail address (Optional):
Professional Relationship (Optional):

  Peer                                                                      Co-Worker                                                                                                                                                Supervisor

  Customer                                                             End-User                                                                                                                                                   Subordinate

 

Reference Name ():
Title (Optional)
Company Name ():
Phone Number (include area code):
E-mail address (Optional):
Professional Relationship (Optional):

  Peer                                                                      Co-Worker                                                                                                                                                Supervisor

  Customer                                                             End- User                                                                                                                                                 Subordinate

 

Reference Name ():
Title (Optional)
Company Name ():
Phone Number (include area code):
E-mail address (Optional):
Professional Relationship (Optional):

  Peer                                                                      Co-Worker                                                                                                                                                Supervisor

  Customer                                                             End- User                                                                                                                                                 Subordinate