LLM Production Architect & AI Transformation Lead

finera.; Dubai; On-site; AED 350,000 - 700,000; Full time

Benefits offered by this job

Medical Insurance starting day 1

Training resources

Well-stocked office

Team-building events

Employee Recognition Program

Job summary

Finera is seeking a senior, hands-on ML engineer who has shipped LLM systems to production and can run them reliably in a payments/regulatory context. You will own end-to-end LLM pipelines, ensure observability, and drive performance and cost efficiency.

You will design RAG architectures, implement evaluation loops, and collaborate with security, risk, and compliance to meet strict governance needs. A strong background in Python, cloud platforms (AWS/GCP), containers, and IaC is required.

Qualifications

• 5+ years in software engineering with 2+ years shipping LLM/GenAI systems to production.
• Strong Python and hands-on experience with LLM orchestration.
• RAG in depth - embeddings, vector stores, retrieval quality, chunking, and how to evaluate all of it.
• Evaluation-first mindset - you build measurement into LLM systems rather than shipping on vibes.
• Solid ML grounding - transformer architectures, tokenisation, context windows, and their practical trade-offs.
• Production cloud - AWS or GCP, containers, CI/CD, and infrastructure-as-code for reliable, observable services.

Responsibilities

• Ship production LLM applications.
• Own the evaluation loop.
• Engineer for reliability.
• Optimise cost and latency.
• Partner on governance.
• Set technical direction.

Skills

Python

LLM orchestration

RAG pipelines

Evaluation framework

ML fundamentals

Production cloud

Education

Bachelor's degree or higher in CS/ML

Tools

CI/CD

Containers

Infrastructure as Code

Job description

Finera is seeking a senior, hands-on ML engineer who has shipped LLM systems to production and can run them reliably in a payments/regulatory context. You will own end-to-end LLM pipelines, ensure observability, and drive performance and cost efficiency.

You will design RAG architectures, implement evaluation loops, and collaborate with security, risk, and compliance to meet strict governance needs. A strong background in Python, cloud platforms (AWS/GCP), containers, and IaC is required.