AI Agent Engineer - Autonomous RAG Systems (Hybrid)

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

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