The Role
Lead design and delivery of production-grade AI agent services: build LangChain-driven LLM workflows, design distributed microservices, implement testing/evals and monitoring, deploy and maintain models, guide architecture decisions, write production-quality code, troubleshoot live systems, produce documentation, and mentor junior engineers.
Summary Generated by Built In
Insurance isn’t the first industry most engineers think of when they imagine cutting-edge AI work. That’s exactly why this role is interesting.
CFC’s Data & AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We’re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering.
We’re also fundamentally rethinking how we deliver software. We’re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship.
This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You’ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You’ll collaborate closely with engineers, data scientists, and product managers in a team that’s small enough for your decisions to matter and ambitious enough for the work to stay interesting.
About the role
- Design, develop, and maintain business-critical AI agent services.
- Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
- Integrate tests and validation to improve AI agents through evals and monitoring.
- Work with software engineers and architects to lead system design and architectural decisions.
- Translate technical specifications into clean, testable, and scalable production code.
- Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard.
- Write unit and integration tests to maintain reliability and service correctness.
- Monitor, troubleshoot, and continuously improve production services.
- Produce clear, structured documentation for systems, architecture, and processes.
- Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
About you
We’re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You’ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter.
You’ll have:
- Significant experience building production-grade AI agents or LLM-powered services.
- Strong Python development experience, ideally with 6+ years of professional software engineering experience.
- A track record of writing clean, maintainable and high-quality production code.
- Experience supporting business-critical systems in live production environments.
- Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
- Experience designing distributed systems, asynchronous microservices and event-driven architectures.
- Confidence leading system design discussions and making pragmatic architectural trade-offs.
- Strong cloud experience, ideally within Azure.
- Experience deploying, monitoring and maintaining ML or LLM models in production.
- Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
- Hands-on experience orchestrating LLM workflows using frameworks such as LangChain.
- An interest in how agentic software development can improve engineering delivery without compromising code quality.
- Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments.
- An ownership mindset, with the ability to work independently and contribute effectively to shared codebases.
Core Values
Love what you do:
We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
Challenge everything:
We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
Have fun, be good:
Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
Challenge everything:
We’re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
Have fun, be good:
Insurance is a serious business, but we don’t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
About
CFC is a specialist insurance provider, pioneering emerging risk and market leader in cyber. Our global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today's most critical business risk.Headquartered in London with offices in New York, Melbourne, Sydney, Austin, Madrid, Brussels and Brisbane, CFC has over 1100 staff and is trusted by more than 100,000 businesses across 90 countries.At CFC, insurance isn't just about underwriting. From data science to software development, and digital marketing design, we've got something for everyone. We're passionate about pushing boundaries, thinking differently and building the insurance company of the future.CFC is committed to the principles of equal opportunities and creating an environment in which all individuals are always treated with dignity and respect. We encourage a diverse corporate culture of openness and appreciation to create an environment in which your talent can be developed in the best possible way. Should you require any reasonable adjustments at any stage of the recruitment process please let us know.
Skills Required
- Significant experience building production-grade AI agents or LLM-powered services
- Strong Python development experience
- 6+ years of professional software engineering experience
- Track record of writing clean, maintainable and high-quality production code
- Experience supporting business-critical systems in live production environments
- Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures
- Experience designing distributed systems, asynchronous microservices and event-driven architectures
- Confidence leading system design discussions and making pragmatic architectural trade-offs
- Strong cloud experience
- Experience with Azure (preferred)
- Experience deploying, monitoring and maintaining ML or LLM models in production
- Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management
- Hands-on experience orchestrating LLM workflows using frameworks such as LangChain
- Strong communication skills and ability to collaborate effectively in remote or asynchronous environments
- Mentoring junior engineers through code reviews and knowledge sharing
- Ownership mindset and ability to work independently
CFC Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about CFC and has not been reviewed or approved by CFC.
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Strong & Reliable Incentives — Variable pay is positioned as a core part of total compensation, with a group‑wide annual bonus highlighted as a consistent feature. Expanding employee share ownership is described as enhancing overall rewards alongside bonuses.
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Healthcare Strength — Private medical insurance is provided, complemented by dental and optical cashback and a 24/7 employee assistance programme. These elements indicate comprehensive health coverage beyond standard medical plans.
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Leave & Time Off Breadth — Time away provisions include 25 days of holiday and paid volunteer time, signaling a broad approach to time off. Additional practices such as company social events support overall work–life rhythm, though they are not leave per se.
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The Company
What We Do
CFC is a specialist insurance provider, pioneer in emerging risk and market leader in cyber. Their global insurance platform uses cutting-edge technology and data science to deliver smarter, faster underwriting and protect customers from today’s most critical business risks.
