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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain agent-native AI systems including MCP servers, tool-using agents, and LLM pipelines that support operational teams across scheduling, operations, support, and analytics.
Own feature development end-to-end from concept to production, collaborating directly with non-engineering stakeholders who use the tools and rely on their performance.
Make critical technical decisions on the integration and division of tasks between AI models and deterministic code, ensuring reliability and trustworthiness of AI-powered systems.
Minimum Requirements
Proficiency in TypeScript and/or Python with experience using LLM APIs and implementing tool/function calling.
Experience building or integrating with MCP (multi-agent, multi-context processing), function-calling, or agent frameworks beyond simple chat endpoint use.
Work Experience Required: Not explicitly mentioned in the JD.
Location Requirement: Mumbai, on-site.
Ideal Candidate Profile
Operates with a strong product mindset, capable of judging when to rely on AI models versus deterministic logic to ensure functional correctness and trust boundaries.
Experienced in daily production coding with AI-assisted coding agents and adept at steering AI behavior as an engineering skill.
Comfortable owning complex features end-to-end and engaging deeply with frontline operational users to deliver impactful, measurable business tools.