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 to 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 to 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