Lead AI Engineer, Shift Technology
ML/LLM Ops & Agentic AI
AI-driven insurance fraud solution
Be an early applicant
AI-driven insurance fraud solution
501-1000 employees
Be an early applicant
501-1000 employees
Company mission
To revolutionise the policyholder experience through wide-ranging products that apply AI and advanced data science to key insurance processes.
Role
Who you are
- Proven experience building production agentic systems using an agent framework, such as Microsoft Agent Framework, OpenAI Agents SDK, PydanticAI, LangGraph or a custom framework, and strong command of tool calling, MCP, RAG and evaluation
- High proficiency in Python; hands-on experience with experiment tracking, model registry, serving and monitoring, ideally with Databricks and MLflow; and backend services on Azure, Kubernetes, Terraform and event-driven patterns
- Solid machine learning foundations and the ability to critically assess new approaches; exposure to graph machine learning, fraud or claims data is a plus
- High proficiency in Python and strong experience with object-oriented programming; proven 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 and coaching or managing technical contributors, or clear motivation to do so
- Fluency in English is required; French is a plus
- Be a proactive builder who enjoys turning ambitious ideas into working code and takes initiative to solve difficult problems
- Be able to explain complex AI concepts and architectures as clear, executable steps for engineers, data scientists and non-technical partners
- Be genuinely curious about the fast-moving AI landscape, experiment with new models, libraries and research, and identify practical product value
- Lead by example and collaboration, helping team members grow through pair programming, code reviews and pragmatic design discussions
What the job involves
- At Shift, we are building the next generation of AI-driven platform capabilities. As Lead AI Engineer in the Data & AI Platform Engineering team, you will drive the LLMOps roadmap and business-critical agentic use cases. This hands-on role combines building, prototyping and scaling modern AI/LLM systems with leading a small team
- This high-impact, high-visibility role is for a senior builder working at the intersection of agentic frameworks, LLM orchestration, MCP, generative AI, MLOps and production-grade software engineering. You will lead a focused team and work directly with software engineers and product leaders to design, prototype and ship AI systems into production, while connecting with the Data Science team to align priorities and share best practices
- This role offers the opportunity to lead people and shape a roadmap while continuing to code and build
- Design and ship production-grade agentic workflows—including LLM orchestration, tool calling, MCP, RAG and structured outputs—and define reference architectures that determine what a model handles versus deterministic code
- Own LLMOps standards, including evaluation harnesses, prompt and agent versioning, tracing with OpenTelemetry, cost and token governance, release gates and tenant-aware patterns that protect client data isolation
- Own the Databricks-based ML platform, including Unity Catalog, MLflow, CI/CD to serving on AKS and monitoring, and extend it to support the agent and prompt lifecycle
- Partner with the Cloud Ops team to design and deploy the architecture for internally self-hosted open-weight foundation models. Own the inference layer and model optimizations for latency and throughput, collaborating with Cloud Ops on GPU resource provisioning and cluster management
- Run time-boxed proofs of concept on emerging techniques, such as relational foundation models for claims fraud detection or agentic ingestion of medical billing sources to generate claim edits, with clear success criteria and a path to production
- Coach and develop a team of 2 to 5 people, raise the technical bar through design and code reviews, and partner with product, subject-matter experts, architecture, security and SRE
Our take
The global insurtech market is projected to grow substantially given the increased demand for insurance service digitisation, projected market expansion, and developments in technology that have made it easier to buy and process claims. Insurtech helps create new avenues that large insurance companies have less incentive to pursue, such as offering social insurance and customised policies for clients.
In January 2021, Shift Technology introduced the Shift Insurance Suite to help the insurance industry apply AI-based decision automation and optimisation technology solutions. This addresses critical processes across the insurance policy lifecycle, and helps insurers to achieve faster, more accurate claims and policy resolutions.
Shift Technology is focusing on continuous deployment in the UK and the US, whilst exploring opportunities in Singapore, as it attempts to become an international player in the market. However, it must stave off a number of major competitors to do so, including Quantemplate, Slice and Neos.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
May 2021
$220m
SERIES D
Mar 2019
$59.6m
SERIES C
Total funding: $319.4m
Company benefits
- Flexible remote and hybrid working options
- Competitive Salary and a variable component tied to personal and company performance
- Company equity
- Generous PTO and paid holidays
- Parental leave opportunities
- Extensive mental health benefits provided via our global Employee Assistance Program
- Paid volunteering time - 16 hours annually
Company HQ
Bercy, Paris, France
Leadership
Jeremy Jawish
(Co-Founder & CEO)Experience in fraud detection solution development for AXA in 2011, and as an FICC Strategist for Goldman Sachs in 2012.
Eric Sibony
(Co-Founder & CSO)PhD in machine learning from 2012-2016, and has been CSO since 2013.
David Durrleman
(Co-Founder & Fellow Engineer)Experience as a Fixed Income Strategist for Goldman Sachs between 2008-2013.
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