(*Note: This is a requirement for one of Uplers' client - ToyStack)
What do you need for this opportunity?
Must have skills required:
LangGraph, LangChain, Python, Docker
ToyStack is Looking for:
ToyStack AI is a lean, agentic-first engineering team building proprietary multi-agent platforms for enterprise clients. We move rapid, own end-to-end delivery, and work directly with clients to scope and ship AI systems in production. If you want to own a project — not just a component — this role is for you.
What You'll Do
- Take full ownership of AI projects from scratch to production — onboard within the first month and independently lead delivery from month two onwards.
- Design and build AI agent systems using LangGraph, LangChain, and related frameworks including RAG pipelines, vector databases (e.g. Neo4j, Chroma, Pinecone), and multi-agent workflows.
- Be the primary point of accountability for your project — scope requirements directly with US clients, discuss infra issues, and manage delivery timelines with the project manager.
- Lead and mentor a sub-team — assess teammate strengths, delegate tasks accordingly, and help them grow technically.
- Set up and maintain containerised deployments using Docker and Kubernetes; work with CI/CD pipelines and cloud infrastructure (AWS / GCP / Azure).
- Participate in client-facing calls, including with US-based stakeholders — flexibility on time zones is expected.
Must Haves
- Hands-on experience building AI agents using LangGraph and/or LangChain in real, shipped projects.
- Strong Python — used daily for agent, RAG, and backend development; live coding is part of the interview process.
- Demonstrated end-to-end product ownership — you have led full lifecycle delivery (not just a component) from scratch to production in a prior rol
📌 Senior AI Engineer (Bengaluru)
🏢 Uplers
📍 Bengaluru
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