AI/ML EngineerLocation: Austin, Texas 78751 (Hybrid, 3 days remote with Onsite on Tues & Weds)Duration: 4 months Contract with possibility to extensionAI 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.Researching, designing, implementing and managing software programs.Testing and evaluating new programs.Working closely with other developers, UX designers, business and systems analysts.Candidate Skills and Qualifications:Years - Required/Preferred - Experience4 - Required - experience in AI/ML engineering or advanced data science4 - Required - Proven track record of building and deploying production-grade autonomous agents.4 - Required - Strong experience in context engineering4 - Required - Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.4 - Required - Experience implementing RAG architectures using vector databases4 - 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 evaluation4 - 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 controls4 - Required - Understanding of data privacy and handling of sensitive data (PII/PHI)2 - Preferred - Experience building multi-agent or autonomous agentic workflows2 - Preferred - Experience optimizing LLM cost, token usage, and performance