Position – AI/ML Engineer
Location - Austin, TX 78751
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 access to local and remote data sources. Required 4 year
• 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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