AI Engineering Leader — Trinetra AI
Location: Delhi NCR
Role Type: Full time, Leadership
Stage: 0→1 Build and Scale
About Trinetra AI
Trinetra AI is building an AI-native platform for next-generation content creation, intelligence, production and decision-making.
The platform brings together Generative AI, multimodal intelligence, video technology, creator workflows, content analytics, production tools and enterprise-grade Saa S/Paa S infrastructure.
We are looking for an AI Engineering Leader who can take this vision from 0→1, build the core technology stack, create the engineering team, and scale Trinetra into a robust AI platform.
This is not a pure management role. We need a hands-on builder-leader who can move comfortably across AI models, video technology, backend architecture, databases, APIs, cloud infrastructure and frontend applications, and who is willing to prototype or vibe-code when required.
Website -
What We Are Looking For
The ideal candidate combines:




Deep Tech AI + Gen AI + Video Technology + Full-Stack Architecture + Saa S/Paa S + Media Tech + Startup Execution
We are particularly interested in people who have already built technology products from an early stage and understand the journey from:
Idea → Architecture → Prototype → MVP → Product → Platform → Scale
Startup, founding-team or early-stage engineering experience will be strongly preferred.
Key Responsibilities1. Own Trinetra's AI and Technology Architecture
Define and own the end-to-end architecture across:
Generative AI LLMs and foundation models Multimodal AI Vision-Language Models AI agents and agentic workflows RAG and knowledge systems Embeddings and vector databases Fine-tuning and model adaptation Model orchestration Inference architecture Model evaluation and observability AI safety and governance Cost and latency optimisation The candidate should understand when to build, fine-tune, integrate, orchestrate or use third-party models, rather than simply adding AI APIs to a conventi

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