Staff Backend Engineer - AI Agents (Python, RAG, Vertex AI)
at Technology, Information and Internet
Python
PostgreSQL
ChatGPT
RedisCompany 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
Shubham Vishwakarma
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon