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Senior AI Engineer - Bengaluru

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 experience, including streaming and failure handling

  • Monitor production AI systems and continuously improve outcomes

  • Collaborate directly with the CTO on product and technical decisions

  • Stay updated with the latest AI advancements and rapidly adopt relevant innovations

  • Drive AI architecture decisions that create long-term product differentiation

Job Details

Location: HSR Layout, Bengaluru

Job Setup: Work From Office - 5 Days a Week

Interview Process

  • Technical Round 1

  • Technical Round 2

  • Assignment Round (If Applicable)

  • Final Discussion with CTO

Important Note

ClanX is a recruitment partner, helping Figr hire a Founding Senior AI Engineer.

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What this application asks

recruitee

Full name, Email, CV, Phone

  • How many years of experience do you have as a AI Engineer / Backend engineer building AI agents? choose one
  • Are you willing to relocate to Bengaluru? yes / no
  • What is your notice period? (We are looking for candidates who can join within 30 days) choose one
  • Is your notice period negotiable? choose one
  • Do you have experience working at a product-based company? yes / no
  • Are you a citizen of India and currently based in India? yes / no
  • What is your current annual CTC range? (INR) choose one
  • Please share the figures for your current CTC breakup: Fixed, Variable, ESOPs (with vesting), and any other components
  • What is your expected annual CTC? (INR)
  • Help us with your LinkedIn profile link
  • Have you personally built and deployed AI agents to production that are actively used by real users or customers? yes / no
  • Tell us about a project you’ve worked on that you are most proud of. Please include a brief description, your exact role, how long it took to complete, any major challenges you faced, and how you overcame them. Feel free to add a link if available. written answer
  • Have you worked on AI coding assistants or chat-based agents (e.g., Claude Code, Cursor, Windsurf, GitHub Copilot)? written answer
  • Describe the most impactful AI agent you built. What was the use case, how many users/customers used it, what was the architecture (agents, tools, retrieval, memory, evaluations), and what were the key challenges and trade-offs? written answer
  • What were the biggest challenges you faced while running AI agents at scale (cost, latency, reliability, hallucinations, or user experience), and how did you solve them? written answer
  • What interests you in the company Figr (http://figr.design/)? written answer
  • Why do you want to leave your current role? written answer
  • Where did you find this job opportunity? (e.g., LinkedIn, Twitter, WhatsApp, etc). If someone referred you, please mention their name and contact number so we can thank them. (Write NA if not applicable). written answer

See also

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