Software Engineer 3 - Full Stack at GreyLabs AI

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

23 Sep, 26

Salary

0.0

Posted On

25 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Django, Golang, React.js, AWS, PostgreSQL, Distributed Systems, System Architecture, API Design, LLM Orchestration, Voice AI, Docker, Kubernetes, CI/CD, Data Modelling, Query Optimisation

Industry

technology;Information and Internet

Description

SOFTWARE ENGINEER 3 - FULL STACK Location: Bengaluru | Company: GreyLabs AI | Experience: 5-8 years 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 humanise 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 - processing hundreds of millions of conversations. We raised ₹85 Crores in Series A funding led by Elevation Capital with Z47, and were recognised for "Best Use of AI in Fintech" at IFTA 2025. The Role SDE3 at GreyLabs means owning technical bets end-to-end: writing the design doc, making the architecture call, and shipping it. You’ll work across Voice AI Agents (our flagship autonomous voice platform) and Voice Analytics (Conversation Intelligence for CXOs). What You’ll Do * Own complex engineering problems end-to-end - from scoping and design through implementation, testing, and production operations, including personally driving resolution of production incidents. * Write technical design documents, lead design reviews, and make architecture calls. * Identify and resolve cross-cutting technical challenges: latency, reliability, security, and scalability across the platform. * Work with product teams from problem definition - translate requirements into clean technical solutions and push back where the trade-offs warrant it. * Mentor SDE1 and SDE2 engineers through code reviews, design feedback, and structured pairing. * Evolve engineering standards - API design, observability, testing, and incident response What We’re Looking For Must-Haves * 5-8 years of engineering experience; track record of owning and shipping complex systems * Deep backend expertise: designed and operated distributed systems in production; familiar with failure modes at scale. * Strong Python (Django) and Golang for production systems - idiomatic, performant code; * Solid experience with React.js and modern frontend development * Working knowledge of AWS (EC2, S3, Lambda, RDS, or equivalents) * Strong fundamentals in relational databases (PostgreSQL preferred), data modelling, and query optimisation * Led technical design: wrote design docs, ran design reviews, and owned architecture decisions cross-functionally. * 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 * Voice AI stack in production: Deepgram, Whisper, AWS Transcribe, ElevenLabs, Google TTS, or equivalent ASR/TTS tools. * LLM orchestration (LangChain, LlamaIndex, or custom) in a production voice or conversational AI system. * Streaming or event-driven architectures * BFSI-adjacent domain experience - compliance monitoring, audit trails, and data sensitivity requirements in practice. * Containerisation and CI/CD - Docker, Kubernetes, and pipeline tooling (GitHub Actions, Jenkins, or equivalent). Why GreyLabs AI * A hard problem in a large market. Building low-latency, multilingual Voice AI for regulated financial institutions - across diverse Indian languages and under RBI and IRDAI compliance requirements - is technically complex and commercially consequential. * Real scale, real engineering challenges. The reliability, cost, and infrastructure challenges here reflect actual production load. * Scope to shape the technical direction. At our current stage, architectural decisions move quickly from design to production. Senior engineers have direct influence on how the platform is built and what it becomes. * Strong backing, proven team. Elevation Capital and Z47 are long-term partners invested in our vision. Our founders built and exited Cogno AI - they understand what it takes to build AI companies that earn enterprise trust.

Responsibilities

Own the end-to-end technical lifecycle of Voice AI and Analytics platforms, from design and architecture to implementation and production operations. Mentor junior engineers and establish engineering standards for API design, observability, and incident response.