Senior AI / Machine Learning Engineer (LLM & Autonomous Systems)

Overview We are seeking an experienced AI / Machine Learning Engineer to design, develop, and deploy intelligent, production-grade AI systems. This role focuses on building LLM-powered applications, autonomous agents, and RAG-based solutions to support enterprise decision-making and process automation. Key Responsibilities • Design, develop, and deploy AI-driven applications and autonomous agent systems • Build and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases • Integrate LLMs via APIs and implement scalable AI workflows • Collaborate with developers, analysts, and UX teams to deliver end-to-end solutions • Implement AI governance, safety controls, and model evaluation frameworks • Optimize LLM performance, cost, and token efficiency • Ensure secure handling of sensitive data (PII/PHI) • Contribute to architecture decisions for scalable, enterprise-grade AI systems Required Skills • 4+ years in AI/ML engineering or advanced data science • 4+ years building production-grade AI/LLM systems • Strong experience with: • LangChain / LangGraph / CrewAI / AutoGPT • RAG architectures + vector databases • Python + AI/ML frameworks (OpenAI, Hugging Face, Azure AI) • Experience integrating LLMs into enterprise systems • Knowledge of AI governance, guardrails, and model lifecycle management • Understanding of data privacy and secure AI design Preferred Skills • Experience with multi-agent systems / autonomous workflows • LLM cost optimization and scaling strategies • Familiarity with enterprise AI deployment patterns Location & Duration • Hybrid (Austin, TX – Local candidates only) • Duration: ~4 months (extension possible)