AI Engineer
Read straight from BayRock Labs's careers page, verified 2d ago.Seekless can tailor your résumé to it.
Seekless can write your résumé for this posting first.
Before you apply
SalaryNo pay range posted
LocationHybrid (Newark, California, US)
Work modehybrid
Typefull-time
DepartmentEnterprise Services
Company size51–200 people
First seenOct 16, 2026 · 2w ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
Strong hands-on experience with LLM-powered systems
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
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)
Skills
Python
LangGraph
LangChain
FastAPI
GPT
Claude
LLaMA
Mistral
Azure
AWS
GCP
Pinecone
Weaviate
FAISS
MLflow
Kubeflow
About the role
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).
About the company
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.