Responsibilities
- Build rule-based and LLM agents around shared, versioned rules and tools.
- Work with operators to understand real workflows and connect agents to business systems, data warehouses, internal services, and APIs.
- Implement structured outputs, validation, application logic, permissions, guardrails, and staged autonomy from recommendations to independent action.
- Log agent decisions and user feedback to support evaluation and improvement.
- Create representative test sets and evaluate agent behavior before and after changes.
- Operate production agents with tracing, failure handling, and monitoring of quality, latency, and cost.
Requirements
- At least 3 years of engineering experience, including at least one LLM application or agent shipped to real users.
- Production-grade proficiency in either Python or TypeScript and productivity in the other, with typed, tested code and clear interfaces.
- Experience with LLM engineering concepts including tool calling, structured outputs, context management, and agent-behavior evaluation.
- Experience with SQL, HTTP APIs, containers, CI/CD, a cloud platform, and debugging through logs and traces.
- Ability to make commercially informed engineering decisions, own delivery outcomes, communicate clearly, and exercise sound judgment under ambiguity.
- Nice-to-have experience with operator-facing agents, AWS SageMaker, AWS ECS/Fargate, Terraform, CircleCI, Snowflake, dbt, event logging, lead generation, or ad tech.
Benefits
- Hybrid working with 3 days per week in the office.
- Summer Fridays, 25 days of paid holiday plus 8 bank holidays, and additional Christmas closure days.
- Work from anywhere for 2 weeks each year.
- Life assurance, income protection, and a benefits allowance for health, dental, and vision coverage.
- Six months of paid maternity leave and one month of paid paternity leave, subject to qualifying conditions.
- Defined Contribution Pension and Salary Sacrifice Scheme.
- Wellbeing and mental health support, family support, and 2 charity days per year.
Tech Stack
Categories
About MVF
MVF powers growth for our clients by connecting them to potential customers. The digital marketing landscape is complex and constantly evolving. Businesses need experts who are tracking that evolution and finding new ways to innovate and win. This is where MVF comes in. We match readers, buyers, & business leaders with the brands & companies that make the products and services they need. We do this by building relationships with potential customers at each stage of the marketing funnel by offering insights, information, and tools to help them learn more about the things they’re interested in. We build profiles on our audiences, guide them through purchase decisions, and ultimately connect them to the right products/services when they are ready to buy. Our clients trust us as experts in lead generation, which frees up their time to do what they do best. Sunday Times Tech Track 2014 & 2017, Winner 2013 Queen's Award for Enterprise 2017 Sunday Times International Track 200 Inc 5000 Europe Deloitte Fast 500 National Business Awards Entrepreneur of The Year 2015