Lead AI Engineer – ML/LLM Ops, Agentic AI

Shift Technology

. Design and ship production-grade agentic workflows using LLM orchestration, tool calling, MCP, RAG and structured outputs .

Posted 10/26/2026full-timeRemote • FranceSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing production-grade agentic workflows, leveraging LLM orchestration and robust ML platforms. Proficient in Python and experienced in leading technical initiatives while coaching team members to elevate technical standards.

Highest-signal resume keywords

Production Agentic Systems DevelopmentLLMOps Standards OwnershipDatabricks and MLflow ExperiencePython ProficiencyTechnical Initiative Leadership

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

LLM OrchestrationTool CallingMCPRAGPythonOOPExperiment TrackingModel RegistryClean Code Design PatternsModel Optimization

Soft Skills

CoachingCollaborationTechnical Standards Raising

Tools & Technologies

DatabricksMLflowAzureKubernetesTerraformOpenTelemetry

Industry Keywords

Agentic WorkflowsInference LayerEvent-Driven PatternsTenant-Aware Data-IsolationSelf-Hosted Open-Weight Foundation Models

Tech Stack

Tools & technologies

AzureCloudKubernetesPythonTerraformUnity

About the role

Key responsibilities & impact

Design and ship production-grade agentic workflows using LLM orchestration, tool calling, MCP, RAG and structured outputs
Define reference architectures determining what models handle versus deterministic code
Own LLMOps standards, including evaluation harnesses, prompt and agent versioning, OpenTelemetry tracing, cost and token governance, release gates and tenant-aware data-isolation patterns
Act as technical owner of the Databricks-based ML platform, including Unity Catalog, MLflow, CI/CD to serving on AKS and monitoring
Extend the ML platform toward agent and prompt lifecycle management
Partner with Cloud Ops to design and deploy architecture for internally self-hosted open-weight foundation models
Own the inference layer and model optimizations for latency and throughput
Run time-boxed proofs of concept on emerging AI techniques and establish paths to production
Coach and develop 2 to 5 people
Raise technical standards through design and code reviews
Partner with product, subject-matter experts, architecture, security and SRE teams
Collaborate with software engineers, product leaders and Data Science to align priorities and spread best practices

Requirements

What you’ll need

Proven experience building production agentic systems using Microsoft Agent Framework, OpenAI Agents SDK, PydanticAI, LangGraph or custom frameworks
Strong command of tool calling, MCP, RAG and evaluation
High proficiency in Python
Hands-on experience with experiment tracking, model registry, serving and monitoring
Experience with Databricks and MLflow is ideally preferred
Experience with backend services on Azure, Kubernetes, Terraform and event-driven patterns
Solid ML foundations and ability to critically judge new approaches
High proficiency in Python and strong experience with OOP
Ability to design robust, maintainable software systems and write clean code using appropriate design patterns and software engineering best practices
Experience leading technical initiatives across stakeholders
Experience coaching or managing technical contributors, or clear motivation to do so
English fluency required; French is a plus

Benefits

Comp & perks

Flexible remote and hybrid working options
Competitive Salary and a variable component tied to personal and company performance
Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
Generous PTO and paid holidays
Mental health benefits
2 MAD Days per year (Make A Difference Days for paid volunteering)
Additional benefits may be offered by country, based on your eligibility