We're building JustCall's AI engineering function to make sure none of that happens on our watch.

We need a Head of Engineering, AI who can sit across the table from a product leader, an enterprise customer, or a junior engineer debugging a live voice agent - and walk out with a cleaner architecture, a faster system, and a team that ships production-grade AI with the confidence that comes from actually having built it before. Someone who stays close to the code, owns the infrastructure, and raises the engineering bar every quarter.

Lead engineering across AI Voice Agents (AIVA), AI Coaching, Conversation Intelligence, AI Workflows, and future AI-native products - with full ownership of technical direction and delivery.
Stay deeply hands-on with architecture, coding, debugging, latency optimization, observability, and production reliability - this is a player-coach role, not a pure management seat.
Define AI quality frameworks - golden datasets, eval pipelines, regression detection, scoring systems, and operational metrics - that catch problems before customers do.
Hire, mentor, and grow a high-performing AI engineering organization in India while maintaining a strong, execution-focused technical culture.
Partner closely with Product and Design to deliver AI experiences that feel intuitive, reliable, and production-ready - not impressive in a sandbox and broken in the field.
Shape JustCall's long-term AI roadmap across multilingual support, outbound AI agents, vertical workflows, and omnichannel automation.

8+ years building distributed systems, AI/ML products, real-time systems, or voice infrastructure - with 3+ years leading engineering teams.





- Strong track record of shipping production-grade AI products used by real customers at scale - not just prototypes or internal tools.
- Experience building agentic systems with orchestration, tool calling, retries, fallbacks, memory and context management, and graceful degradation.
- Deep hands-on expertise with eval systems, automated testing, regression detection, and operational monitoring for LLM applications.
- Strong product intuition and engineering judgment - you balance experimentation, speed, and scalability without losing any of the three.

Edges that help
Experience building or scaling production voice agents using platforms like Pipecat, Retell, Vapi, LiveKit, ElevenLabs, or similar infrastructure.
Experience making architectural decisions around prompting, fine-tuning, RAG, memory systems, and model routing - and living with the consequences of those calls in production.
Experience hiring and scaling high-performing engineering teams in India.

We measure engineering impact by production reliability, latency benchmarks, eval coverage, and the AI experiences we ship - not tickets closed.
Rapid cycles, high ambiguity, and the expectation that you bring both architectural depth and shipping velocity to every initiative.
Competitive pay tied to the systems you architect and the engineering culture you build.

We're backed by Peak XV and Base10 Partners, have crossed $40M ARR, and are building toward $100M with the team, the product, and the infrastructure to get there.
We believe diverse teams build better products, which is why we're committed to making hiring or any employment decision regardless of race, colour, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity, sexual orientation, or any other characteristic.

📌 Lab Manager - Engineering (Bengaluru)
🏢 Saas Labs
📍 Bengaluru