AI Engineering Leader — Trinetra AI

Location: Delhi NCR
Role Type: Full time, Leadership
Stage: 0→1 Build and Scale

About Trinetra AITrinetra 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 SaaS/PaaS 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.

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What We Are Looking ForThe ideal candidate combines:
DeepTech AI + GenAI + Video Technology + Full-Stack Architecture + SaaS/PaaS + MediaTech + 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 ArchitectureDefine 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 ad

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