AI Engineer

BayRock Labs

United States

On-site

USD 90,000 - 120,000

Full time

14 days+

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Job summary

A leading product engineering firm is seeking AI Engineers with strong hands-on experience in building and integrating LLM-powered systems. The role requires deep Python skills along with production-grade experience using frameworks and API development. This entry-level position emphasizes collaboration within a team that values innovation and excellence. Join to work on cutting-edge projects that transform businesses, with a focus on AI and data analytics.

Qualifications

  • Strong hands-on experience in AI & LLM integration, including prompting and pipeline design.
  • Proficiency in Python for production-level backend and data/ML workflows.
  • Experience with LangGraph & LangChain for agent workflows and orchestration.
  • LangGraph & LangChain for agent workflows and memory.
  • FastAPI for robust backend services and API gateways.

Responsibilities

  • Build and integrate LLM-powered systems as part of the engineering team.
  • Develop robust backend services and API gateways using FastAPI.
  • Contribute to modern API development and maintain high-quality code.

Skills

AI & LLM Integration
Python
LangGraph & LangChain
FastAPI

Tools

Python
LangGraph
LangChain
FastAPI

Job description

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.

Responsibilities

AI Engineers with strong hands‑on experience building and integrating LLM-powered systems. The ideal profiles includes deep Python skills and production‑grade experience with agent frameworks and modern API development.

Key Requirements
  • AI & LLM Integration (prompting, orchestration, model evaluation, pipeline design)
  • Python (production‑level backend + data/ML workflows)
  • LangGraph & LangChain (agent workflows, tools, memory, graph-based orchestration)
  • FastAPI (robust backend services, API gateways, async execution)
Seniority Level

Entry level

Employment Type

Full-time

Job Function

Engineering and Information Technology

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