AI Engineer
BayRockLabs Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at BayRockLabs. Hybrid (Newark, California, US) · full-time · no salary stated · we estimate $132,450–$205,151 across the United States.
BayRockLabs has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI systems around large language models for enterprise use
- Create agent workflows with LangGraph or LangChain, then connect them to the wider system
- Develop FastAPI services that support deployment at scale
- Work with data scientists, ML engineers and product managers to deliver complete AI solutions
- Improve application speed, reliability and scalability while keeping up with emerging AI and ML tools
What you bring
- Hands-on work building systems powered by LLMs, plus strong Python skills for AI and ML development
- Practical experience orchestrating agents with LangGraph or LangChain and building production APIs in FastAPI
- Understanding of deploying, monitoring and scaling ML systems through their lifecycle
- Experience using Azure, AWS or another listed cloud platform for AI or ML workloads
Who this fits
This mid-level role suits an engineer who has built LLM applications and can take them through API development and deployment. You’ll collaborate across data science, ML engineering and product; the work also calls for adapting to a fast-paced environment.
From the employer
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).