Principal AI Engineer

• 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.
• Strong 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