Position AI/ML Engineer Location - Austin, TX 78751 Duration Contract
Position note- 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.
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.
It 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.
Skill Matrix Required.
Experience in AI/ML engineering or advanced data science. Required 4 year
Proven track record of building and deploying production-grade autonomous agents. Required 4 year
Strong experience in context engineering. Required 4 year
Experience implementing RAG architectures using vector databases. Required 4 year
Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI) Required 4 year
Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation. Required 4 year
Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized Required 4 year
access to local and remote data sources.
Experience implementing AI guardrails, content filtering, and safety control. Required 4 year
Understanding of data privacy and handling of sensitive data (PII/PHI). Required 4 year
Experience building multi-agent or autonomous agentic workflows. Preferred 2 year
Experience optimizing LLM cost, token usage, and performance. Preferred 2 year
Familiarity with enterprise AI deployment patterns and scalability considerations. Preferred 2 year
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