LLM Systems Engineer: AI Pipelines & FastAPI

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

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.