Senior AI Engineer - Bengaluru

Company: CLANX

Location: Bengaluru, Karnātaka, India

Salary: ₹4M - ₹6M per year

Type: Full-time

Posted: 2026-07-10

About this role

Founding Senior AI Engineer responsible for building and scaling the intelligence layer of Figr's AI product agent, focusing on context, retrieval, agent orchestration, performance, and user experience.

Company Details

Figr is building an AI product agent that helps teams turn product intent into production-ready outcomes. The platform understands applications, design systems, product context, and documentation to help teams ship faster and better products. Backed by Kalaari Capital, Antler, and Google for Startups Accelerator.

Website: https://figr.design/

Requirements

  • 4+ years of software engineering experience with strong Python expertise
  • Must have built and deployed AI agents in production for real users
  • Experience operating as an early or founding engineer in a startup is a strong plus
  • Strong experience with LangGraph, LangChain, agent orchestration, tool calling, and evaluation frameworks
  • Hands-on experience building production-grade RAG and retrieval systems
  • Deep understanding of context engineering, prompt engineering, and agent architecture
  • Strong knowledge of FastAPI, asynchronous programming, and scalable backend systems
  • Experience optimizing AI systems for cost, latency, reliability, and quality
  • Strong understanding of model routing, caching, token optimization, and AI infrastructure
  • Ability to evaluate and improve AI user experiences
  • Excellent communication and stakeholder management skills
  • Ability to thrive in a fast-paced startup environment with high ownership

Responsibilities

  • Join the founding team and help shape the AI strategy, architecture, and technical roadmap
  • Own the AI layer end-to-end across the product
  • Build systems that provide deep product context to AI agents
  • Design and improve retrieval, context, memory, and reasoning pipelines
  • Optimize model performance, latency, reliability, and cost
  • Build and improve evaluation frameworks for subjective AI workflows
  • Enhance the overall AI user ...

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