Product Engineer | Fibr.ai

Bengaluru · In office

Stack: Python · FastAPI · Temporal · PostgreSQL · MongoDB · Redis The role

Fibr is building the agentic web experience layer turning every URL into an intelligent agent that senses intent, makes decisions, and adapts in real time. Our agents personalise the full journey, running long LLM workflows against live customer accounts and millions of sessions. You'll be a senior technical voice on the team shaping architecture, making the hard calls on system design, and owning the most complex parts of the platform.

You'll work directly with the founding team and have real influence over where the product goes technically. What you'll do

Own the hardest engineering problems durable workflows, eval infrastructure, agent reliability at scale

Set the technical direction for new surface areas agent architectures, data models, integration patterns

Ship AI-powered features end-to-end and hold the bar for quality across the team

Design systems that survive rate limits, partial failures, flaky third-party APIs, and real production load

Build the evals, guardrails, and instrumentation framework the whole team ships against

Sit at the table for architecture decisions and drive them forward

Mentor and raise the bar for the broader engineering team Must-haves

2-3 years of production backend experience

Python is your primary language and we move fast

Has shipped LLM-powered features to real users at scale not demos, not side projects. Talk about what broke, how you debugged it, and what you rebuilt

Has designed and owned eval infrastructure for LLM systems show us the harness, the dataset, and how it drove ship/no-ship decisions

Has taken systems from 1 to 100 not just 0 to 1.



You've dealt with scale, reliability, and production incidents firsthand

Deep experience with durable workflow systems in production Temporal, Celery, or similar at real scale

Strong system design fundamentals you think about failure modes before you write the first line

Strong product thinking alongside engineering depth you catch the product gap before the PM does

Asks clarifying questions before jumping into solutions you understand the problem before you build the solution

High ownership decisions are yours to make, not wait for Nice-to-haves

Multi-agent architectures or complex tool-use pipelines in production

Experience with rate-limited third-party APIs at scale ad platforms, CRMs, analytics tools

Vector stores, RAG pipelines, or retrieval systems in production

LLM observability and tracing LangSmith, Langfuse, Prometheus, or similar

Time spent as a founding engineer or early engineer at a seed/Series A startup

Has mentored junior engineers or led technical decisions in a small team

Robust product sense you catch the system design issue and the UX issue This role is not for you if:

Your AI experience is limited to personal projects or hackathons

You've only built demos or PoCs that never reached real users

You need detailed specs before you can start building

Your primary language is JavaScript or Java

You've only ever worked at large companies where someone else made the hard calls How we work

High ownership, low bureaucracy. Decisions in the room, not in docs. You'll work directly with the founding team and have real influence over technical direction from day one. Why Fibr AI

Direct technical influence at an Accel-backed AI startup A chance to architect systems at the frontier of agentic AI

📌 Product Engineer (Bengaluru)
🏢 Fibr AI
📍 Bengaluru