Lead AI Engineer – ML/LLM Ops, Agentic AI

Job not on LinkedIn

🔥 6 minutes ago

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Shift Technology

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🛡️ Insurance

☁️ SaaS

💰 $220M Series D on 2021-11

Artificial Intelligence • Insurance • SaaS

Shift Technology is a company that specializes in AI-driven solutions for the insurance industry. They offer a variety of products designed to optimize critical insurance decisions, with a focus on fraud detection, risk detection, and claims management. Leveraging deep insurance expertise and advanced artificial intelligence technology, Shift Technology helps major insurance providers across the globe improve decision-making accuracy and efficiency. Their solutions are highly reliable, secure, and capable of providing clear explanations for each decision made, supporting compliance efforts in areas like AML/KYC. Trusted by some of the top insurers worldwide, Shift Technology has established itself as a leader in the field of AI for insurance.

📋 Description

• 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

• 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

• 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