Senior AI Product Engineer

Senior AI Product Engineer

Fibr AI · HSR Layout, Bengaluru (in-office) · Full-time · 5–9 years

About Fibr

Websites were built for humans clicking around, and that's changing fast. Visitors now arrive from ChatGPT and Claude, and AI agents increasingly browse, compare and act on people's behalf. Fibr is building the experience layer that adapts every website to whoever is visiting, human or agent.

We're Accel-backed and cash-flow positive. Our customers include of the Fortune 500 and 3 of the top 5 global banks. We recently launched Agent Experience Optimization (AXO), which extends 1:1 personalization to AI agents.

What you'll build

• Multi-agent systems that turn ad, search and LLM intent into personalized landing experiences, at a scale of thousands of variants in minutes.
• Agentic pipelines that audit customer websites, find conversion bottlenecks, and launch experiments automatically.
• Real-time systems that recognize AI agents on live sites and serve them the right experience without slowing pages down.
• The platform underneath: LLM orchestration, workflow engines, evals and observability.

You'll own features end to end. That means scoping problems with customers and product, prototyping fast, and taking what works from POC to production on some of the world's largest websites.

What we're looking for

• 5- 9 years building backend or product systems, mainly in Python (Django or FastAPI) with Postgres.
• At least 1.5 years shipping LLM or agent-based features to real users in production, not just demos.
• Hands-on experience with agent frameworks, RAG, tool-calling, structured outputs and prompt iteration driven by evals.
• Comfort with ambiguity: you turn a loosely defined problem into shipped software and use production data to decide what to improve.
• Product-company or startup experience, with clear ownership of what you built.

Nice to have

• Personalization, experimentation, CRO or martech experience.
• Workflow orchestration (Temporal or similar), LLM gateways or observability tools, Kubernetes or GCP.
• Experience working directly with enterprise customers.

Why Fibr

• Help define a new category, agent readiness, while it's being built.
• High ownership in a small team: what you ship goes live for global brands and banks.
• Work directly with the founders.