Software Developer 2 -AI/ML engineering

Hybrid in Austin, TX, US • Posted 9 hours ago • Updated 9 hours ago

Contract W2

Contract Independent

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

AI/ML engineering
context engineering
Deep experience
RAG architectures
AI deployment
autonomous agentic workflows
PII/PHI
LLMs
AI/ML libraries

Summary

Solicitation Reference Number: 529601688

Direct Client: Texas Health and Human Services Commission

Working Title: Software Developer 2 - AI Agent Engineer Designs

Work Location: Austin, Tx - Position will be 3 days remote with 2 days (Tues & Wed) required to be onsite

Interview Mode: Inperson and Teams

JD:

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.

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91133032
Position Id: 529601688
Posted 9 hours ago

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