AI Tooling Engineer - Remote
Zyte (company site, opens in a new tab)3+ yrsBengaluruRemoteDirect career pageEst. 14–28 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and extend an internal AI agent platform by designing, building, and deploying new capabilities alongside the Principal Engineer in Tooling.
- Integrate internal systems and SaaS APIs into the platform ensuring proper security, access controls, and seamless data flow.
- Own platform quality through evaluation benchmarks, cost and usage tracking, user feedback, and turning proofs of concept into production-ready cloud tools.
Minimum Requirements
- 3+ years of experience building and shipping production software primarily using Python and relational databases.
- Proven experience building and shipping at least one real user-facing AI agent utilizing LangGraph, with expertise in tool calling, retrieval, embeddings, and prompt/context design.
- Hands-on experience with major LLM APIs including cost and token optimization, MCP protocol as server and client, SaaS and SQL data integration, and cloud infrastructure (Google Cloud and/or AWS).
- Proficient with version control (GitHub/Bitbucket) and English communication (written and spoken, technical/non-technical).
Ideal Candidate Profile
- Experienced builder who owns end-to-end AI agent development from user interaction to deployment and monitoring in a production environment.
- Comfortable working with secure data access models implementing least privilege principles and coordinating between technical and non-technical stakeholders.
- Skilled in using AI coding agents daily with rigorous testing standards and observability tooling (e.g. Langfuse) to maintain high-quality code output.