AI Engineer

BayRock Labs; Newark (CA); On-site; USD 130,000 - 195,000; Full time

Job summary

BayRock Labs in Silicon Valley is seeking a highly skilled AI Engineer to design and scale LLM-powered systems. You will build production-grade APIs with FastAPI and integrate agent workflows using LangGraph and LangChain, collaborating with data scientists and ML engineers to deliver enterprise-ready solutions.

Ideal candidates have deep Python expertise, hands-on LLM experience, and a track record deploying AI workloads on cloud platforms such as AWS, Azure or GCP.

Qualifications

• Strong hands-on experience with LLM-powered systems and AI/ML development.
• Proven ability to build production-grade APIs and scalable architectures.
• Experience with cloud platforms for AI workloads.

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.

Skills

Python

LLM systems

Agent workflows

API design

Problem solving

Tools

LangGraph

LangChain

FastAPI

Azure

AWS

GCP

Vector databases

Job description

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 abilitytoworkin fast‑pacedenvironments.

Preferred Qualifications

• Experiencewithvectordatabases(e.g.,Pinecone,Weaviate,FAISS)forretrieval‑augmented generation.
• FamiliarwithMLOpstools(MLflow,Kubeflow,orsimilar).
• Knowledgeofpromptengineeringandfine‑tuningLLMs.
• PriorworkinenterpriseAI applications( chatbots,copilots,automationsystems ).

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.