AI Engineer
Listed on 2026-01-19
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
About Bay Rock Labs
At Bay Rock 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 Lang Graph/Lang Chain 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.
- Design and build advanced AI systems powered by large language models (LLMs).
- Develop and integrate agent workflows using Lang Graph/Lang Chain 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.
- 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 Lang Graph/Lang Chain 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.
- 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).
The pay range for this role is:
80 - 90 USD per hour (Hybrid (Newark, California, US))
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