This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineering Lead - Data Services based in India.
This is a high-impact technical leadership role responsible for the backend, APIs, data services, and AI/LLM systems powering a global B2B sales intelligence platform. You’ll lead two engineering pods through their team leads while remaining deeply hands-on, with approximately 80% of your time focused on architecture and engineering. You’ll shape scalable services, production-grade AI agents, data models, and reliability standards that reach customers every day. The environment is AI-native, rapid-moving, and built around senior engineers with strong ownership. You’ll have significant architectural freedom to define the next generation of backend and AI infrastructure. This is an opportunity to lead from the front, combining technical depth with broad organizational influence.
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Accountabilities
Own the architecture, development, and operation of secure,



scalable backend services and RESTful APIs using Python, FastAPI, and related technologies.
Design robust data models, schemas, access patterns, and integrity strategies across PostgreSQL, Snowflake, DynamoDB, and other data platforms.
Build and evolve production AI/LLM services and agents with strong guarantees around performance, observability, idempotency, reliability, and cost control.
Develop agent infrastructure including tool-calling frameworks, MCP server layers, structured-output validation, bounded agentic workflows, sandboxed execution, human-in-the-loop checkpoints, and replayable traces.
Establish and maintain AI evaluation frameworks, including scorers, labelled datasets, trajectory and multi-turn evaluations, regression suites, model calibration, and drift detection.
Set engineering standards for scale and reliability, including caching, rate limiting, circuit breakers, bounded retries, graceful degradation, cost ce

📌 Software Engineering Lead (India)
🏢 Jobgether
📍 India