Lead Engineer - AI

New
IndiaFull-TimeLead
Salary not disclosed
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Job Details

Experience
6+ years
Required Skills
Node.jsPostgreSQLGoNest.jsNosqlLLMDistributed Systems

Requirements

  • 6+ years of backend or platform engineering experience in distributed systems or high-scale environments.
  • Strong proficiency in Go and Node/NestJS for building scalable backend services.
  • Hands-on experience with distributed architectures, event-driven systems, and asynchronous workflows.
  • Strong expertise in databases including PostgreSQL and NoSQL systems, with performance tuning experience.
  • Proven experience working with LLM integrations, embeddings, vector databases, and RAG-based systems.
  • Familiarity with edge or serverless platforms such as Cloudflare Workers and KV or equivalent technologies.
  • Strong understanding of system design, scalability, latency optimization, and production reliability.
  • Experience implementing AI safety mechanisms, structured outputs, and model evaluation approaches.

Responsibilities

  • Lead the design and development of scalable AI-driven backend systems supporting high-traffic platform services and generative workflows.
  • Own architecture and implementation of distributed systems, including microservices, event-driven pipelines, and edge or serverless components.
  • Build and optimize LLM-powered systems such as RAG pipelines, embeddings workflows, and multi-agent orchestration frameworks.
  • Drive development of secure and scalable identity, permissions, and access control systems across platform services.
  • Improve system reliability, performance, and observability using monitoring, logging, and alerting best practices.
  • Implement AI safety and guardrails, including structured outputs, verification layers, and hallucination mitigation strategies.
  • Collaborate with staff engineers and product teams to translate architectural designs into production-ready systems.
  • Mentor engineers through code reviews, technical discussions, and best-practice enforcement in a high-ownership engineering culture.
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