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GreyLabs AI

Software Development Engineer - 2

Posted 8 Days Ago
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In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Mid level
In-Office
Bengaluru, Bengaluru Urban, Karnataka, IND
Mid level
Full-stack SDE-2 building end-to-end features for a Voice AI and speech analytics platform: design backend APIs, craft frontend UIs, architect scalable backend systems, own technical decisions, ensure enterprise-grade reliability, and improve engineering foundations like CI/CD and monitoring.
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About GreyLabs AI

GreyLabs AI is building the voice operating system for India's BFSI. Our Agentic Voice AI platform helps banks, insurers, NBFCs, and fintechs automate and humanize millions of customer conversations - across sales, collections, customer service, and compliance - in multiple Indian languages.

In under two years, we've scaled to 50+ enterprise clients including RBL Bank, AU Small Finance Bank, IDFC FIRST Bank, SBI Life, ICICI Prudential Life, Motilal Oswal, and Groww - processing hundreds of millions of conversations. We raised ₹85 Crores in Series A funding led by Elevation Capital with Z47, and were recognized for "Best Use of AI in Fintech" at IFTA 2025..

The Role

We're looking for a SDE-2 (Full Stack) to join our engineering team and build across our product surface - which spans Voice AI Agents (our flagship autonomous voice platform) and Speech Analytics (real-time conversation intelligence for CXOs).

At our stage, engineers work across product lines based on where the highest impact is. One quarter you might be building the real-time dashboards that surface compliance insights to banking ops leaders; the next, you could be crafting the APIs that orchestrate multilingual voice agent conversations at scale. You'll work end-to-end - from database schema to UI - and your code will be in production for some of the largest financial institutions in India.

This is a role with real ownership, meaningful scope, and the kind of variety that keeps engineering genuinely interesting.

What You'll Do

  • Build and ship full-stack features end-to-end - from designing backend APIs to crafting the frontend interfaces that enterprise clients use daily

  • Architect and implement backend systems that are reliable, scalable, and performant - we process hundreds of millions of conversations for regulated financial institutions, and that bar keeps us sharp

  • Own technical decisions - from choosing the right data model to making latency-vs-cost trade-offs in how we serve real-time analytics

  • Build for India's BFSI complexity: multilingual support, compliance requirements, and enterprise-grade reliability expectations

  • Work closely with product, design, and client-facing teams - at our size, engineers are part of the conversation from the start, not just at the implementation stage

  • Strengthen our engineering foundations - CI/CD, testing, monitoring, developer tooling - because we believe speed and quality go hand in hand

What We're Looking For

Must-Haves:

  • 3–5 years of professional software engineering experience with a track record of owning and shipping products

  • Strong proficiency in Python/Django for building production backend systems

  • Solid experience with React.js and modern frontend development — you enjoy building UIs that are functional, responsive, and well-crafted

  • Working knowledge of AWS (EC2, S3, Lambda, RDS, or equivalents) — you've deployed and operated production workloads on cloud infrastructure

  • Strong fundamentals in relational databases (PostgreSQL preferred), data modeling, and query optimization

  • Proficiency with Git-based workflows and code review practices

  • Strong CS fundamentals — comfortable reasoning about data structures, concurrency, system design, and algorithmic trade-offs

  • An appetite for learning and figuring things out — at a growing startup in an emerging category, the problems are often new and the playbook is still being written

Strong Signals (not checkboxes):

  • Experience building systems that integrate with ML models, handle non-deterministic outputs, or process audio/speech data

  • Familiarity with real-time data processing, streaming architectures, or WebSocket-based systems

  • Experience with containerization (Docker) and CI/CD pipelines in production

  • Prior startup experience - or a demonstrated ability to thrive with autonomy and move quickly

  • Exposure to the BFSI domain is a plus, but we're happy to bring you up to speed

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