3 months ago
London, United KingdomSenior
Responsibilities
- Design, develop, and maintain business-critical AI agent services.
- Build LangChain-based agent workflows and LLM-driven services for production underwriting decisions.
- Integrate tests, validation, evaluations, and monitoring to improve AI agents.
- Lead system design and architectural decisions for AI-driven production microservices.
- Translate technical specifications into clean, testable, scalable production code.
- Collaborate with engineers, data scientists, and product managers to deliver features.
- Write unit and integration tests and maintain service reliability and correctness.
- Monitor, troubleshoot, and continuously improve production services.
- Document systems, architecture, and processes.
- Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
Requirements
- Significant experience building production-grade AI agents or LLM-powered services.
- Strong Python development experience and ideally 6+ years of professional software engineering experience.
- A track record of writing clean, maintainable, high-quality production code.
- Experience supporting business-critical systems in live production environments.
- Strong understanding of asynchronous programming, Docker, containerized 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 with Azure.
- Experience deploying, monitoring, and maintaining ML or LLM models in production.
- Familiarity with MLOps, LLMOps, evaluations, monitoring, and lifecycle management.
- Hands-on experience orchestrating LLM workflows with frameworks such as LangChain.
- Interest in using agentic software development to improve engineering delivery without compromising quality.
- Strong communication and collaboration skills for remote or asynchronous environments.
- Ability to work independently, take ownership, and contribute effectively to shared codebases.
Categories
About CFC
CFC is a London‑headquartered specialist insurer that builds technology‑driven products for businesses, with particular strength in cyber and other emerging risks. Founded in 1999, it underwrites lines including cyber, intellectual property, management liability, medical malpractice, product recall, and property & casualty, distributed primarily through brokers worldwide. CFC serves customers in over 90 countries and offers coordinated incident response to help clients manage cyber incidents from notification to resolution.