Leading, mentoring, and managing a team of AI Engineers - setting technical direction, reviewing architecture and code, and supporting their day-to-day growth.
Driving the architecture of Tristone's agentic AI platform end to end, spanning agents, MCP servers, and supporting services that propose and apply changes across large codebases and financial workflows.
Designing and overseeing retrieval systems (RAG, vector search, hybrid approaches) that give AI agents and developers accurate, up-to-date context from large codebases, financial documents, and design artifacts.
Building and refining compile, test, and evaluation pipelines, covering static analysis, style and safety checks, performance gates, and code review, to consistently measure and raise the quality of AI-generated changes.




Defining best practices around concurrency, telemetry, configuration hygiene, prompt versioning, and performance-sensitive code paths, so AI outputs remain reliable and idiomatic.
Driving experiments and evaluation frameworks to continuously improve AI-driven workflows across the team.
Acting as the primary point of technical escalation for the AI engineering function, liaising with the MD and cross-functional stakeholders on priorities, timelines, and risk.
Complying with IT policies and procedures.
Maintaining security of information at all times.

📌 Lead Ai Engineer (Mumbai)
🏢 Tristone
📍 Mumbai