- Lead AI research with direct enterprise impact
- Shape next-gen agentic AI and model efficiency About Our Client The Client is an AI-native enterprise technology company focused on domain-specialised AI agents and agentic AI platforms for large organisations. With operations spanning enterprise AI transformation, proprietary small language models, and secure AI deployments, The Client has built a strong position in enterprise AI and is backed by leading global investors and strategic technology ecosystem partnerships.

Job Description

- Own the applied research roadmap for specialised AI models.
- Lead knowledge distillation and model compression initiatives.
- Design RLHF, RLAIF, DPO, and advanced preference-optimisation systems.
- Drive improvements in inference cost, latency, and throughput.
- Translate research concepts into production-ready AI solutions.
- Establish technical standards for applied machine learning.
- Mentor senior engineers and influence hiring decisions.
- Represent The Client through publications, conferences, and research collaborations. The Successful Applicant We're Looking For Someone Who Has




- PhD required in Machine Learning, AI, NLP, RL, or related fields.
- 8+ years of combined PhD and industry experience, or 5+ years post-PhD.
- Robust publication record or recognised open-source contributions.
- Proven experience deploying large-scale production ML systems.
- Deep expertise in PyTorch, Python, LLMs, model distillation, and optimisation.
- Hands-on experience with RLHF, PPO, DPO, RLAIF, or related approaches.
- Excellent technical communication, research judgement, and leadership skills. What's on Offer
- One of the most senior individual contributor AI roles in the organisation.
- Opportunity to influence AI research strategy and platform direction.
- Work on cutting-edge agentic AI, model compression, and inference economics.
- High visibility with leadership and industry research communities.
- Direct ownership of AI innovations that impact enterprise customers globally. If this role fits your experience, you can apply for the role. Quote job ref: JN-102026-7133274

📌 Principal AI Engineer (Bengaluru)
🏢 Michael Page
📍 Bengaluru