Client requires the services of 3 Software Developer 2, hereafter referred to as Candidate(s), who meets the general qualifications of Software Developer 2, Applications/Software Development and the specifications outlined in this document for the Texas Health and Human Services Commission.
All work products resulting from the project shall be considered "works made for hire" and are the property of the Texas Health and Human Services Commission and may include pre-selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Client will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).
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.
II. CANDIDATE SKILLS AND QUALIFICATIONS
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. |
Years | Required/Preferred | 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 |
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