Role overview
As an
AI Engineer
, you will design, build, and operate
agentic AI systems end-to-end
—from concept to production. You’ll work on multi-agent orchestration, Retrieval-Augmented Generation (RAG), evaluation frameworks, and AI guardrails to build safe, reliable, and high-performing systems.
You will collaborate cross-functionally with product, ML, and design teams—bringing ideas to life through strong engineering execution, clear communication, and a low-ego, problem-solving mindset.
What we're looking for
- Strong proficiency in Python (FastAPI, Flask, asyncio) and GCP experience is good to have
- Demonstrated hands-on RAG implementation experience with specific tools, models, and evaluation metrics.
- Practical knowledge of agentic frameworks (LangGraph, LangChain) and evaluation ecosystems (LangFuse, LangSmith).
- Excellent communication skills , proven ability to collaborate cross-functionally , and a low-ego, ownership-driven work style.
Tags & focus areas
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