About BayRock Labs At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let's redefine what's possible in technology. We are seeking a highly skilled AI Engineer with strong hands-on experience in building and integrating LLM-powered systems. The ideal candidate will have deep expertise in Python, practical experience with LangGraph/LangChain for agent workflows, and proficiency in FastAPI for developing production-grade APIs. This role involves designing, deploying, and scaling intelligent systems that leverage large language models to deliver enterprise-ready solutions. Key Responsibilities • Design and build advanced AI systems powered by large language models (LLMs). • Develop and integrate agent workflows using LangGraph/LangChain frameworks. • Implement production-grade APIs with FastAPI to support scalable deployments. • Collaborate with cross-functional teams (data scientists, ML engineers, product managers) to deliver end-to-end AI solutions. • Optimize performance, reliability, and scalability of AI-driven applications. • Stay current with emerging AI/ML technologies and contribute to innovation initiatives. Required Skills & Experience • Strong hands-on experience with LLM-powered systems (e.g., GPT, Claude, LLaMA, Mistral). • Deep expertise in Python for AI/ML development. • Proven experience with LangGraph/LangChain for agent workflow orchestration. • Proficiency in FastAPI for building robust, production-ready APIs. • Solid understanding of ML lifecycle management, including deployment, monitoring, and scaling. • Experience with cloud platforms (Azure, AWS, or GCP) for AI/ML workloads. • Strong problem-solving skills and ability to work in fast-paced environments. Preferred Qualifications • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) for retrieval-augmented generation. • Familiarity with MLOps tools (MLflow, Kubeflow, or similar). • Knowledge of prompt engineering and fine-tuning LLMs. • Prior work in enterprise AI applications (chatbots, copilots, automation systems).