Overview
Responsible for the design, implementation, and operational management of INTERPOL’s central AI infrastructure, acting as the Technical Lead of the AI Cluster.
Key Responsibilities
- Own the architecture and lifecycle of the AI Cluster, managing deployment and serving of LLMs, Diffusion Models and Embedding Models.
- Build and maintain RAG pipelines and Vector Databases.
- Develop the "AI Backend" as a Service, exposing standard APIs.
- Act as the senior technical reference for the team of Machine Learning Operations (MLOps) Engineer.
- Define and enforce LLMOps/MLOps standards.
- Design and implement complex Workflow Managers.
- Monitor the health, latency, and cost of AI workloads, optimizing resource usage.
- Forecast infrastructure evolution requirements.
Required Experience
- Minimum of 5 years’ experience in software engineering or AI engineering, including hands-on implementation in production systems.
- Proven experience in LLM integration, retrieval-augmented generation, vector-based search, or similar AI architectures.
- Proven experience in Platform Engineering and deploying AI/Machine Learning (ML) solutions in production environments.
- Demonstrated experience in technically leading or mentoring developers/data analysts.
- Experience in international or public-sector organizations is an asset.
Qualifications
- 3 to 4 years’ completed university degree (Master’s or equivalent) in Computer Science, Artificial Intelligence, Data Engineering, or a related field.
- Certifications in AI engineering, cloud services, data science, frontend development, or relevant emerging technologies are considered an asset.
