Job Title: AI/ML Software Developer – RAG Location: Austin, TX (Hybrid) Work Type: Contract (C2C) Experience Required: 15+ Years (Senior Level Only) Interview Mode: In-Person Only (No Exceptions) Work Schedule: Hybrid Role 3 Days Remote, 2 Days Onsite (Monday & Thursday Mandatory) Important Notes: Only LOCAL candidates (Austin Metro Area) Out-of-state candidates NOT allowed Candidates must already be residing in Texas No relocation candidates Job Summary: We are seeking a highly experienced AI/ML Software Developer specializing in Retrieval-Augmented Generation (RAG) and agentic AI systems. The candidate will design, develop, and deploy AI-driven autonomous solutions to improve productivity, automate workflows, and support intelligent decision-making with a strong focus on governance, security, and cost efficiency. Key Responsibilities: Design and develop AI-driven agentic workflows and autonomous systems Build and implement RAG architectures using vector databases Develop, test, and deploy scalable AI/ML solutions Collaborate with developers, UX designers, and business analysts Implement AI governance, safety controls, and content filtering Optimize LLM performance, token usage, and cost efficiency Ensure secure data handling (PII/PHI compliance) Integrate LLMs via APIs and enterprise systems Required Skills: Strong experience in AI/ML engineering or advanced data science Proven experience building production-grade autonomous agents Expertise in context engineering Hands-on experience with: LangChain LangGraph CrewAI AutoGPT Experience with RAG architectures & vector databases Strong Python programming skills Experience with AI/ML libraries: OpenAI Hugging Face Azure AI Experience integrating LLMs via APIs Knowledge of AI governance and model lifecycle management Experience implementing Model Context Protocol (MCP) Experience with AI guardrails and safety mechanisms Understanding of data privacy (PII/PHI) Experience in multi-agent systems LLM optimization (cost, tokens, performance) Enterprise AI deployment & scalability knowledge Nice to Have: Experience in large-scale enterprise AI implementations Strong understanding of secure AI system design