Software Engineer

Role & responsibilities

Build and ship product features end to end UI, API, data layer, and deployment.

• Develop responsive, accessible interfaces in React and TypeScript for enterprise users
• Design and build backend services and REST/GraphQL APIs in Python, Node.js, or Go
• Integrate LLM, agent, and inference workflows into product surfaces streaming responses, tool calls, long-running tasks, and failure states
• Model and query data across relational and non-relational stores
• Containerise and deploy services, and support them in production
• Write tests, review code, and participate in design discussions
• Own features from the API contract through to what the user sees, working directly with product, design, and AI engineering rather than through handoffs
• Debug across the full stack browser to server to database

You will be working on Agentic AI products where the hard problems are real: streaming agent output, long-running workflows, human-in-the-loop review, and observability over systems that are non-deterministic by nature.

This is a build role, not a maintenance role.

Preferred candidate profile

• 24 years of professional full stack development experience
• Strong React and TypeScript component design, state management, and performance
• Solid backend experience in at least one of Python, Node.js, or Go, with real API design experience
• Working knowledge of SQL and at least one non-relational database
• Comfortable with Git, Docker, and deploying to AWS, Azure, or GCP
• Fluent with AI coding assistants in your daily workflow — and able to review what they produce rather than ship it unread
• B.E. / B.Tech / MCA in Computer Science or a related field. Strong self-taught engineers with a demonstrable body of work are equally welcome

Good to have

• Experience building on LLM APIs or agent frameworks (LangChain, LangGraph, or similar)
• Streaming interfaces — WebSockets, SSE
• Kubernetes, CI/CD pipelines, or infrastructure-as-code
• Observability and monitoring in production systems
• Vector databases or retrieval-augmented generation
• Open-source contributions, or a portfolio of shipped work