Software Engineer 3 - Full Stack

Posted 6 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Artificial Intelligence • Fintech • Analytics • Conversational AI
The Role
Senior full-stack engineer owning end-to-end design, implementation, testing, and production operation of low-latency Voice AI and Voice Analytics systems. Drive architecture and design reviews, resolve reliability and scalability issues, mentor junior engineers, and establish engineering standards for APIs, observability, testing, and incident response.
Summary Generated by Built In
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.

Skills Required

  • 5-8 years of engineering experience; track record of owning and shipping complex systems
  • Deep backend expertise designing and operating distributed systems in production
  • Strong Python (Django) for production systems
  • Strong Golang for production systems
  • Solid experience with React.js and modern frontend development
  • Working knowledge of AWS (EC2, S3, Lambda, RDS or equivalents)
  • Strong fundamentals in relational databases, data modelling, and query optimisation (PostgreSQL preferred)
  • Led technical design: written design docs, run design reviews, owned architecture decisions
  • Experience with containerisation and CI/CD (Docker, Kubernetes, GitHub Actions, Jenkins)
  • Experience with Voice AI stacks or ASR/TTS tools (Deepgram, Whisper, AWS Transcribe, ElevenLabs, Google TTS)
  • Experience with LLM orchestration (LangChain, LlamaIndex, or custom) in production conversational systems
  • Experience with streaming or event-driven architectures
  • BFSI domain experience (compliance, audit trails, data sensitivity) in practice
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The Company
Year Founded: 2023

What We Do

GreyLabs AI is an Agentic Voice AI platform transforming how financial institutions, including banks, fintechs, insurance companies, and broking firms, engage with their customers. The company specializes in automating contact centers using Voice AI Agents capable of sales, support, and collections across multiple Indian languages, blending speech analytics and conversational intelligence to drive higher conversions and lower operating costs.

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