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
Key Responsibilities
Technical Skills Required
Benefits & Perks
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)
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🧠What they’re looking for:
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- 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:
Interested in relocating to United Arab Emirates? Check out our comprehensive Relocation Jobs in United Arab Emirates page with detailed relocation packages and benefits.
- 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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