This role is critical in ensuring the reliability, performance, and evolution of LLMs and data pipelines in production environments
Job Summary
This role is critical in ensuring the reliability, performance, and evolution of LLMs and data pipelines in production environments.
You’ll be responsible for completion of the LLM Ops stack, including Platform (DSQ, Langfuse), Langfuse integrations for AI components, LLM Ops workflows, help with data annotations, basic monitoring and analytics.
Join us and be part of a team that values innovation, quality, and continuous improvement.
Matching Summary
This role is critical in ensuring the reliability, performance, and evolution of LLMs and data pipelines in production environments.
Skills & Requirements
Must-have
LLM Ops expertise
Langfuse or similar tools
Python and ML frameworks
Cloud platforms (AWS, Azure, GCP)
Containerization (Docker, Kubernetes)
Model Optimisation
Data drift detection
Nice-to-have
Responsible AI practices
Agile software development
Finance sector experience
Risk management knowledge
Open-source contributions
Key Requirements
Proven experience in LLM Ops, MLOps, or AI infrastructure
Strong understanding of LLM behaviour, fine-tuning, and prompt engineering