Posting record
Open 13+ days
- Bayrock Labs' site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Bayrock Labs, so its true age is longer.
Last checked Nov 1, 2026.
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- Pay
- $80 to $90 an hour USD
Not stated: Real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
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).
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