AI Lead - Generative AI

We are seeking a visionary and hands-on AI Lead Generative AI to architect and scale cutting-edge AI solutions across the LinkCxO ecosystem. You ll lead initiatives involving LLMs, RAG pipelines, multimodal models, and more, shaping how AI drives user engagement, personalization, and discovery. This is a highly collaborative role where you ll work closely with the Founders, Product, and Engineering teams to embed intelligence into the core of a fast-growing platform designed for India s senior leadership.

Key Responsibilities

Strategy & Leadership:

• Define and execute the Generative AI roadmap aligned with business goals


• Build and lead a team of ML engineers, data scientists, and AI researchers


• Partner with Product, Design, and Tech teams for scalable AI integration

Technical Execution:

• Develop, fine-tune, and deploy generative AI models (LLMs, Transformers, DiUusion, RAG)


• Optimize model performance, latency, and cost in production environments


• Implement MLOps pipelines for training, deployment, monitoring, and iteration

Research & Innovation:

• Stay updated with cutting-edge developments in generative and multimodal AI


• Experiment with open-source and proprietary models; contribute to patents/publications


• Integrate foundation models via APIs (e.g., OpenAI, Hugging Face, Anthropic) or custom setups

Governance & Ethics:

• Ensure AI systems are built with fairness, explainability, and ethical best practices


• Maintain compliance with data privacy laws and responsible AI principles

Required Skills & Qualifications

• Master s or Ph.D. in Computer Science, AI/ML, Mathematics, or related discipline


• Strong understanding of Transformers, GANs, VAEs, DiUusion Models


• Proficient with PyTorch, TensorFlow, LangChain, Hugging Face, OpenAI APIs


• Proven experience in training or fine-tuning large-scale LLMs or foundation models


• Hands-on MLOps experience in model deployment and scaling


• Strong problem-solving skills and product-oriented mindset

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG) or agent-based systems


• Familiarity with cloud platforms (AWS, GCP, Azure) and distributed architectures


• Contributions to open-source projects or AI research communities

Additional Information:

Engagement Type: Full-Time

Experience Required: 4 6 Years

Department: Artificial Intelligence