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 Operations expertise
Langfuse or similar tools
Python and ML frameworks
Cloud platforms (AWS, Azure, GCP)
Containerization (Docker, Kubernetes)
Model Optimization and drift detection
Nice-to-have
Agile software development
Data privacy and responsible AI
Open-source contributions
Finance sector experience
Key Requirements
Proven experience in LLM Ops, MLOps, or AI infrastructure