Senior AI/LLM Engineer

pharos resource partners • United Arab Emirates
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AI Summary

Develop production-grade LLM tools to support business and workforce decision-making. Build and deploy LLM-powered applications, fine-tune models, and design evaluation frameworks. Strong engineering background and experience with LLMs in production required.

Key Highlights
Building and deploying LLM-powered applications
Fine-tuning and adapting models
Designing evaluation frameworks and testing pipelines
Key Responsibilities
Building and deploying LLM-powered applications
Fine-tuning and adapting models
Designing evaluation frameworks and testing pipelines
Technical Skills Required
Python C# LLMs MLOps
Benefits & Perks
Competitive package
Relocation package
Real-world impact

Job Description


📍 Onsite | Permanent | Competitive Package + Relocation


I’m working with a leading global investment manager building out a specialist AI / Talent Analytics function - focused on developing production-grade LLM tools that directly support business and workforce decision-making.


This isn’t a research-only role - it’s about taking LLMs into production.


💡 What you’ll be doing:

  • Building and deploying LLM-powered applications
  • Fine-tuning / adapting models to improve performance and reliability
  • Designing evaluation frameworks & testing pipelines
  • Developing agentic workflows and multi-step AI systems
  • Working across LLMOps / MLOps (prompting, model routing, observability)


🧠 What they’re looking for:

  • Strong engineering background (Python and/or C#)
  • Experience working with LLMs in production
  • Hands-on exposure to fine-tuning or model adaptation
  • Experience building end-to-end AI systems


✨ Why it’s interesting:

  • Real-world impact (not just prototypes)
  • High ownership, working end-to-end
  • Unique intersection of AI + behavioural / talent data
  • Strong, competitive package


If you’re interested (or just curious), feel free to drop me a message or email your CV to tess.reilly@pharos-rp.com


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