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Staff Backend Engineer - AI Agents (Python, RAG, Vertex AI)
Technology, Information and Internet
Staff Backend Engineer - AI Agents (Python, RAG, Vertex AI)
Recruiting Bond's logo

Staff Backend Engineer - AI Agents (Python, RAG, Vertex AI)

at Technology, Information and Internet

Agency job
7 - 10 yrs
₹90L - ₹100L / yr
Remote only
Skills
skill iconPython
FastAPI
Agentic AI
AI Agents
Databases
skill iconPostgreSQL
Vector DB
Model Context Protocol (MCP)
Retrieval Augmented Generation (RAG)
Long short-term memory (LSTM)
Remote direct memory access
Codex
Anthropic Claude
skill iconChatGPT
Cursor
Windsurf
Artificial Intelligence (AI)
Data storage
Storage & Networking
Storage management
Systems architecture
Scalability
Performance tuning
Reliability engineering
Systems Development Life Cycle (SDLC)
Persistent Memory systems
Vector Stores and Databases
skill iconRedis
Qdrant
AI-native engineering
backend systems

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
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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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We made our foray into the Indian market with the launch of Junglee.com, enabling retailers in India to advertise their products to millions of Indian shoppers and drive targeted traffic to their stores. In June 2013, we launched http://www.amazon.in">www.amazon.in for shoppers in India. With http://www.amazon.in">www.amazon.in, we endeavor to give customers more of what they want – low prices, vast selection, fast and reliable delivery, and a trusted and convenient online shopping experience. In just over a year of launching our India operations, we have expanded our offering to over 18 million products across 36 departments and 100s of categories! Our philosophy of working backwards from the customers is what drives our growth and success.

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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