Company Description
Recruiting Bond International is a next-generation Talent Intelligence, Executive Search, and Human Capital Advisory firm helping start-ups, enterprises, GCCs, and VC/PE-backed companies build high-impact global teams. It is a global leader in Recruitment Process Outsourcing (RPO), executive search, and workforce consulting, specializing in building transformative talent strategies.
From high-growth startups to Fortune 500 companies, Recruiting Bond partners with organizations across 50+ industries and 140+ countries to deliver fast, scalable, and inclusive hiring solutions. The company supports businesses in scaling teams, fostering innovation, and creating talent-first strategies to achieve their goals.
With deep expertise across Technology, FinTech, Healthcare, Real Estate, and Energy, Recruiting Bond is dedicated to building careers, companies, and futures by connecting world-class talent with high-impact opportunities globally.
About the Role
Our client is hiring a Backend Engineer (India-based, Remote) to design, build, and scale the core memory infrastructure powering production-grade AI agents.
This role is intended for an experienced engineer with 7–10 years of backend engineering experience, who has deeply internalized AI-native engineering practices and actively builds using tools such as Claude Code, Codex, Cursor, Windsurf, or comparable AI development tools as a core part of their workflow.
The hiring process is intentionally non-traditional and skill-first. There is no evaluation based on IIT pedigree, LeetCode performance, or conventional resume filters. Instead, the only evaluation criterion is: how you build with AI in real-world scenarios.
Candidates are expected to submit prompt logs or transcripts from Claude Code, Codex, Cursor, or Windsurf demonstrating a feature or product they are proud of.
What You'll Own
Build and scale backend systems powering the memory infrastructure of the product
Own and deliver features end-to-end, integrating AI coding tools into the core development workflow
Design, manage, and optimize database, storage, and retrieval systems for persistent memory
Collaborate closely on system architecture, scalability, performance, and reliability engineering
Contribute directly to product roadmap decisions based on real customer usage and production insights
Requirements
Must-Have
7–10 years of backend engineering experience
Demonstrated ability to build with AI coding tools (Claude Code, Codex, Cursor, Windsurf, or comparable)
Ability and willingness to submit prompt log transcripts from a feature or product you are proud of
Strong Python fundamentals
Strong PostgreSQL or comparable relational database fundamentals
Comfort owning systems end-to-end in production
Based in India, remote work from anywhere in the country
Nice-to-Have
Prior AI infrastructure or developer tools product experience
FastAPI fluency
Open-source contributions in AI, memory, vector databases, or developer tools
Prior experience in memory systems, RAG pipelines, or vector database engineering
Public technical writing or conference talks on AI-native engineering practices
