Backend Engineer

We are looking for a Backend Engineer with strong exposure to Generative AI and Agentic systems to join our fast-moving team. This is not a traditional backend role - you will work on building AI-native platforms, designing distributed systems, and owning end-to-end deployment in a zero-hierarchy environment.

You will have full ownership of systems you build, from architecture design to production deployment.

Key Responsibilities 1. Scalable System Design

• Design and build highly scalable backend systems and APIs.
• Architect distributed systems capable of handling high-throughput workloads.
• Write clean, maintainable, and efficient code in Java, Golang, or Python .

2. AI & Agentic System Development

• Build and integrate Generative AI applications using tools like LangChain and LangGraph .
• Develop and deploy AI Agents and Agentic workflows .
• Work on ML-powered features such as semantic search, recommendation systems, and fraud detection .

3. End-to-End Ownership

• Own the full development lifecycle - from design to deployment and monitoring.
• Manage deployments using AWS/GCP , Kubernetes , and CI/CD pipelines .
• Ensure system reliability, observability, and performance optimization.

4. Database & Data Systems

• Work across multiple data systems including:
  • Relational databases ( Postgres, MySQL )
  • NoSQL databases ( MongoDB )
  • Graph Databases
  • Vector Databases for AI applications
• Design efficient data models and optimize query performance.

5. Platform & Infrastructure

• Build core platform services such as payments, onboarding, and user systems .
• Integrate backend systems with AI pipelines and model-serving infrastructure.
• Work with emerging protocols such as MCP (Model Context Protocol) .

What We re Looking For

• Strong backend engineering experience (3-8 years preferred).
• Hands-on experience with Generative AI / LLM-based systems .
• Familiarity with:
  • LangChain / LangGraph
  • AI Agents / Agentic AI frameworks
• Solid understanding of:
  • Distributed systems
  • API design
  • System scalability
• Experience with cloud platforms (AWS/GCP) and containerization ( Kubernetes ).
• Strong database fundamentals across SQL, NoSQL, and modern data stores.
• Ability to work in fast-paced, ambiguous environments with rapid iteration cycles.

What Makes This Role Different

• Zero hierarchy : Full ownership and autonomy over your work.
• AI-first engineering : Work at the cutting edge of Generative AI and agentic systems.
• High impact : Build systems that directly power real-world AI applications.
• Fast execution : Same-day iterations and rapid product cycles.
• Strong founding team : Learn from experienced operators and researchers.

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