Key Responsibilities Build and ship features end-to-end — backend services in Go/Python and frontend experiences in React/TypeScript Design APIs, data models, and service architectures that support our client's agentic AI capabilities Create intuitive interfaces that turn complex enterprise data into clear, actionable workflows Partner with ML engineers to bring AI-driven features into production Own features through the full lifecycle: scoping, architecture, implementation, testing, deployment, and iteration Engage directly with enterprise customers and stakeholders to understand real-world needs and refine the product Contribute to infrastructure, tooling, and developer experience as the engineering team grows . Recruiter screen 2. Introductory call with the team (culture and background fit) 3. Technical screen (45–60 minutes) with a senior engineer — architecturally focused, probing on background and hands-on ability (not pure coding, but candidates should demonstrate genuine fluency with code) 4. On-site (~4 hours) — coding interview, system design interview, product sense (30 minutes), AI sense (30 minutes), and a meeting with leadership.