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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building AI agents for business processes, with a strong focus on architecture decisions, compliance, and end-to-end ownership. Proficient in utilizing AI coding tools and predictive models while ensuring reliability and compliance in production environments.
Highest-signal resume keywords
AI Agent DesignArchitecture Decision-MakingEnd-to-End System OwnershipAI Coding Tools ExperienceData Access Rules Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Agent DevelopmentPredictive ModelsDeterministic CodePermissions ManagementAudit TrailsSystem ReliabilityAgent EvaluationsData PipelinesDirect-Mail AcquisitionComplex System Design
Soft Skills
Clear CommunicationConstructive Challenge
Tools & Technologies
PythonGoSnowflakeDbtAd PlatformsCRMs
Industry Keywords
Compliance ChecksBusiness ProcessesHuman ApprovalCost MeasurementValue Measurement
Tech Stack
Tools & technologiesPythonGo
About the role
Key responsibilities & impact- Design and build AI agents that run complete business processes
- Design agent architecture including persistent memory, task management, tool access, permissions and decision records
- Build agents for direct-mail acquisition processes
- Use existing predictive models to build mailing files
- Orchestrate processes while deterministic code performs controlled actions
- Include human approval before mailing files go to print
- Work with process owners to understand edge cases
- Collaborate with Core Systems and Compliance on access and controls
- Connect agents to predictive models, data pipelines and channel tools
- Own agents end to end and run them alongside current processes until validated
- Establish guardrails for suppressions, compliance checks and budget limits
- Measure human intervention, failure points, cost and value
- Make architecture and process decisions for future agent implementations
- Report to the Head of Direct Acquisition
Requirements
What you’ll need- Experience owning a complex system end to end, from design through production
- Experience making architecture decisions and explaining trade-offs
- Experience delivering systems quickly in unfamiliar areas and maintaining reliability in production
- Experience building systems where LLMs take actions, beyond chat or summaries
- Ability to determine when a problem needs an agent versus deterministic code
- Experience building permissions, data access rules and audit trails
- Ability to constructively challenge commercial and product colleagues
- Experience using AI coding tools to produce production engineering work
- Ability to check AI-generated output before production
- Clear, direct and concise written and verbal communication
- Bonus: experience with Python, Go, Snowflake or dbt
- Bonus: experience building agent evaluations
- Bonus: experience with ad platforms, CRMs or direct mail
- Bonus: numerical or technical background such as physics, engineering, maths or computer science
Benefits
Comp & perks- Flexible working hours
- Medical insurance from Vitality, including discounted gym membership
- Private GP service for you, your partner, and dependents
- 25 days' holiday per year
- Extra day off for your birthday
- Option to buy or sell an additional five days of annual leave
- Unlimited unpaid leave
- One-month fully paid sabbatical after four years
- External counselling and therapy sessions
- 3% pension contributions on total earnings
- Employee equity incentive scheme
- Generous parental leave
- Nursery tax benefit scheme
- Electric car scheme
- Cycle to work scheme
- Two company retreats a year
- Learning and development budget
- Company-wide talks with internal and external speakers
- Access to learning platforms such as Treehouse
- Offices with drinks and snacks
- Events and community-led groups, including running groups, padel, ping-pong and pool competitions