Posted on: 16/04/2026
Role : Senior Gen AI Engineer
Location : Bengaluru, Karnataka
Experience : 4 - 7 Years
Notice Period : Max 30 Days
About the Company :
- Document Intelligence : Develop LLM-powered features to extract structured, reliable data from unstructured enterprise documents.
- Agentic Workflows : Design and orchestrate multi-step AI agents using frameworks like LangGraph, CrewAI, or custom orchestration logic.
- RAG Pipelines : Architect advanced Retrieval Augmented Generation systems, including optimized chunking, embeddings, and retrieval strategies.
- Reliability & Evals : Build rigorous evaluation frameworks to measure accuracy, manage latency, optimize costs, and ensure graceful degradation.
- Full-Stack Ownership : While focused on the backend/AI layer, you will own features end-to-
end, including basic UI integration and API orchestration.
Mandatory Requirements :
- Experience : 4+ years in software development, with at least 2+ years of shipping AI/LLM features in production.
- Backend Expertise : Mastery of Python (FastAPI or Django) and building production-grade
backend services.
- AI Ecosystem : Hands-on experience with OpenAI, Gemini, or similar models, specifically focused on chaining, tool usage, and structured outputs.
- System Design : Strong coding and system architecture skills we are looking for a builder, not a researcher or prompt engineer.
- Start-up Pedigree : Previous experience in product-based startups (Series A to Series D).
- Reliability Mindset : Deep understanding of fallback handling, observability, and AI system
performance
Preferred Qualification :
- Education : Graduates from Tier-1 institutes (IITs, BITS, NITs, IIITs, or equivalent global universities).
- Advanced AI : Experience with fine-tuning (LoRA/QLoRA) or open-source deployment (vLLM,
Ollama).
- Frontend : Ability to contribute to the frontend (React or similar).
Perks & Benefits :
- Equity : ESOPs for long-term wealth creation.
- Health & Wellness : Comprehensive health insurance and generous vacation policy.
- Growth : Dedicated learning and development budget, team offsites, and a high-performance culture.
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