Full-Stack Software Engineer

About the role

The work spans front-end and back-end development with a strong emphasis on applied machine learning, including conversational agents and the testing that keeps them reliable. You will also use product judgment to decide what is worth building.

What you'll do

• Ship features end-to-end on a frequent cadence, working with customers to scope problems, building across the stack and monitoring behavior after release
• Build conversational agents that handle voice and email interactions, including speech processing
• Create an evaluation framework with curated test datasets, offline and online checks, regression testing and accuracy validation
• Develop retrieval and matching capabilities tuned for cost and latency at scale
• Set up monitoring and diagnostics that serve engineers, product stakeholders and customers

What you need

• 5–9 years in software engineering
• System design
• Python
• TypeScript
• LLMs
• React
• Regression testing
• Any graduate

Good to have

• Machine learning

What you get

• ₹57 L–₹1.0 Cr a year