AI Platform Engineer (Laval)

What you’ll do in the role:

• Design and build a firmwide AI development and evaluation platform with a strong focus on enterprise-scale GenAI benchmarking, assurance, and governance.
• Develop self‑service tooling, SDKs, and APIs to enable teams to build, evaluate, and deploy GenAI applications efficiently and safely.
• Build reusable, scalable platform components for GenAI and agentic systems, including orchestration, evaluation pipelines, and model lifecycle workflows.
• Lead the implementation of container‑native GenAI workloads on Kubernetes / OpenShift using GitOps‑driven deployment patterns.
• Integrate and operate GenAI ecosystem components including LLMs, vector databases, embeddings, and agent frameworks.
• Drive key architecture, product, and design decisions across security, authentication, observability, scalability, and reliability.
• Establish platform best practices for GenAI evaluations, agentic systems, ModelOps / LLMOps, and production operations.
• Collaborate closely with engineers, data scientists, security, and product teams to accelerate safe enterprise adoption of GenAI.

What you’ll bring to the role:

• 6+ years of strong hands‑on software engineering experience, preferably in Python (FastAPI, Flask), building large‑scale, cloud‑native platforms.
• Deep experience designing and operating Kubernetes / OpenShift workloads using Helm, Customize, container registries, and GitOps practices.
• Hands‑on experience building GenAI and LLM‑based applications, including agentic orchestration, embeddings, evaluation workflows, and fine‑tuning.
• Strong understanding of microservices, RESTful API design, asynchronous and concurrent programming, and performance‑oriented systems.
• Solid foundation in data engineering principles including SQL/NoSQL stores, Kafka, Redis, vector databases, and state management at scale.
• Proficiency in DevOps, CI/CD, observability (OpenTelemetry, Prometheus, Grafana), and SRE‑inspired operational practices.
• Solid working knowledge of security‑first design, OAuth2, secure coding practices, and enterprise‑grade platform controls.
• Experience with agent‑based frameworks or orchestration systems.
• Exposure to LLMOps / ModelOps / evaluation platforms.
• Experience working in enterprise‑scale platforms or internal developer platforms.

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