Product Engineer- AI

ConfidentialBengaluru / Bangalore, India

20 days ago

Job description

Key Responsibilities

Architect Scalable Services : Own the design, delivery, and continual refactoring of Fibr's core microservices (Node.js, MongoDB) to ensure high performance and reliability.
Backend Roadmap & Strategy : Define a multi‑year technical vision for our backend platform, balancing new feature delivery with foundation‑level optimizations.
Mentorship & Leadership : Guide senior and junior engineers in coding best practices, system design reviews, and troubleshooting critical production issues.
Cross‑Functional Collaboration : Work closely with Product, Design, and the AI team to translate feature specs—both traditional and AI‑powered—into low‑level designs and implementation plans.
AI Integration Partnership : Partner with our Applied AI Lead to embed language models and decision‑agent endpoints into backend workflows—handling model orchestration, data pipelines, and inference scaling.
Quality & Observability : Define and maintain metrics, tracing, and alerts for backend services; drive continuous improvement via performance profiling and capacity planning.
Technology Scouting : Stay on top of backend and AI trends (e.g., vector databases, Kubernetes autoscaling, LangChain) and introduce tools that accelerate our developer velocity and system robustness.

Qualifications

Experience : 4+ years in backend engineering, with 2+ years leading teams or projects in a tech‑lead capacity.

Distributed Systems

Deep expertise in building and operating cloud‑native microservices on AWS (or GCP / Azure), with containerization (Docker / Kubernetes) and infra‑as‑code (Terraform).

Tech Stack Mastery : Strong in Node.js (or Go / Python), MongoDB (or PostgreSQL), REST / GraphQL APIs, and message‑driven architectures (Kafka / RabbitMQ).

AI‑Adjacent Skills : Hands‑on familiarity with LLMs, prompt engineering, or RAG integration—willingness to stretch into MLOps, fine‑tuning, and real‑time inference concerns.

Leadership & Communication : Proven ability to set technical direction, articulate complex ideas clearly, and influence cross‑team decisions.

Startup & 0→1 Mindset : Comfortable in high‑ambiguity environments; able to juggle rapid delivery cycles and evolving priorities.

What We Offer

Competitive salary and significant ESOP grants

Health benefits and flexible work culture

Direct impact on product vision and customer outcomes

Exposure to U.S. market and cutting‑edge AI research

Collaboration with experienced founders (IIT & Stanford alumni) and global VCs backing

Skills Required

Graphql, Postgresql, Kafka, Node.js, Go, Rabbitmq, Rest, Gcp, MLops, Docker, Terraform, Mongodb, Azure, Python, Kubernetes, Aws

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Ai Engineer • Bengaluru / Bangalore, India