AI Engineer
BayRockLabs Open · verified Oct 22, 2026 At a glance
Mid-level AI Engineering role at BayRockLabs. New Delihi · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and connect systems powered by large language models, covering prompts, orchestration and model evaluation
- Design pipelines for LLM work, including agent flows, tools, memory and graph-based coordination
- Develop production Python backends and data or machine-learning workflows
- Create FastAPI services and gateways, with support for asynchronous execution
What you bring
- Strong practical experience building and integrating LLM-based systems
- Production-level Python skills across backend development and data or machine-learning workflows
- Hands-on use of LangGraph and LangChain for agent workflows, tools, memory and graph orchestration
- Experience building robust services with FastAPI, including asynchronous execution
Who this fits
This mid-level role suits an engineer focused on LLM integration, Python backend work and agent frameworks. It is based in New Delhi, India.
From the employer
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.
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)