Lead AI Engineer – ML/LLM Ops, Agentic AI

This is a fully remote position, open to applicants in France.

📋 Description

• Design and deliver production-grade agentic workflows utilizing LLM orchestration, tool calling, MCP, RAG, and structured outputs.

• Establish reference architectures to determine the responsibilities of models versus deterministic code.

• Take ownership of LLMOps standards, which encompass evaluation harnesses, prompt and agent versioning, OpenTelemetry tracing, cost and token governance, release gates, and tenant-aware data-isolation patterns.

• Serve as the technical lead for the Databricks-based ML platform, incorporating Unity Catalog, MLflow, CI/CD for deployment on AKS, and monitoring.

• Enhance the ML platform to include agent and prompt lifecycle management.

• Collaborate with Cloud Ops to design and implement architecture for self-hosted open-weight foundation models.

• Manage the inference layer and optimize models for latency and throughput.

• Conduct time-boxed proofs of concept on emerging AI methodologies and create pathways to production.

• Mentor and develop a team of 2 to 5 individuals.

• Elevate technical standards through design and code evaluations.

• Collaborate with product teams, subject-matter experts, architecture, security, and SRE teams.

• Work alongside software engineers, product leaders, and Data Science teams to align priorities and disseminate best practices.

⛳️ Requirements

• Demonstrated experience in building production-level agentic systems utilizing Microsoft Agent Framework, OpenAI Agents SDK, PydanticAI, LangGraph, or custom frameworks.

• Strong expertise in tool calling, MCP, RAG, and evaluation processes.

• High proficiency in Python programming.

• Practical experience with experiment tracking, model registration, serving, and monitoring.

• Familiarity with Databricks and MLflow is highly desirable.

• Experience with backend services on Azure, Kubernetes, Terraform, and event-driven architectures.

• Solid foundation in machine learning and the ability to critically assess new methodologies.

• Advanced proficiency in Python and substantial experience with Object-Oriented Programming (OOP).

• Capability to design robust, maintainable software systems and produce clean code employing suitable design patterns and software engineering best practices.

• Experience in leading technical initiatives across various stakeholders.

• Background in coaching or managing technical contributors, or a strong motivation to pursue this role.

• Fluency in English is required; knowledge of French is a plus.

🏝️ Benefits

• Flexible remote and hybrid work options.

• Competitive salary with a variable component based on individual and company performance.

• Numerous Learning and Development opportunities, including Focus Fridays, a dedicated half-day each month for personal growth and learning.

• Generous paid time off and holidays.

• Mental health support benefits.

• Two Make A Difference Days (MAD Days) per year for paid volunteering.

• Additional benefits may be available based on your country of eligibility.