Senior AI/ML Engineer at Austin, TX (Locals Only) @13 YOE

Hybrid in Austin, TX, US • Posted 5 hours ago • Updated 2 hours ago

Full Time

Able to Sponsor

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Artificial Intelligence
Machine Learning (ML)
LangChain
OpenAI
Hugging Face
Azure AI
CrewAI
AutoGPT
Data Science
Retrieval-Augmented Generation (RAG)
PII/PHI

Summary

Job Title: AI/ML Engineer

Location: Austin, TX (hybrid) - Locals only relocation is not allowed Client Name: State of Texas - HHSC

Job Description:

Level Description

10 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.

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

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
8	Required	experience in AI/ML engineering or advanced data science
8	Required	Proven track record of building and deploying production-grade autonomous agents.
8	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: 10123013
Position Id: 8932233
Posted 5 hours ago

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Senior AI/ML Engineer at Austin, TX (Locals Only) @13 YOE

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