Software Developer 1670

Sistema Technologies Inc.; Austin (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Texas Health and Human Services Commission (HHSC) in Austin seeks an AI Agent Engineer to design and deploy autonomous agent workflows, including Retrieval-Augmented Generation systems, to improve productivity and decision support. You will collaborate with software developers, UX designers, and analysts, implement governance and cost-aware solutions, and ensure security in production workloads.

This onsite/hybrid role requires 4+ years in AI/ML engineering and a proven ability to deploy

Qualifications

• 4+ years of AI/ML engineering or advanced data science experience.
• Proven track record of building and deploying production-grade autonomous agents.
• Strong experience in context engineering.
• Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
• Experience implementing RAG architectures using vector databases.
• Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI).
• Experience integrating LLMs via APIs; knowledge of AI governance and model lifecycle management.
• Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to data sources.
• Experience implementing AI guardrails, content filtering, and safety controls.
• Understanding of data privacy and handling of sensitive data (PII/PHI).
• Preferred: experience building multi-agent or autonomous agentic workflows.
• Preferred: experience optimizing LLM cost, token usage, and performance.
• Preferred: familiarity with enterprise AI deployment patterns and scalability considerations.

Responsibilities

• Researching, designing, implementing and managing software programs.
• Testing and evaluating new programs; working closely with other developers, UX designers, business and systems analysts.

Skills

AI/ML engineering

Autonomous agents

LangChain / LangGraph / CrewAI / AutoG

RAG architectures

Python

OpenAI / Hugging Face / Azure AI

LLM integration via APIs

AI governance

Model Context Protocol

Data privacy (PII/PHI)

Cost optimization for LLMs

Job description

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 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