About the role

Senior AI Engineer contributing to the technical architecture and implementation of multi-agent AI systems at Chip. Collaborating with teams to build and scale AI infrastructure for customer-facing products.

Responsibilities

Architecture & Technical Design
Work closely with the Head of AI to contribute to and implement the technical architecture of Chip's multi-agent AI systems — from orchestration layer to inter-agent communication and context persistence
Design bespoke frameworks and tooling where off-the-shelf solutions fall short
Author and maintain architectural decision records (ADRs) and engineering standards for the AI chapter
Evaluate emerging techniques and approaches, adapting from research into production-ready implementations
Delivery & Implementation
Lead the hands-on implementation of AI systems alongside the team, maintaining deep technical involvement
Build production-grade systems: observable, reliable, and cost-efficient at scale across Chip's 400k+ user base
Define and implement testing and evaluation strategies for agentic systems — models-as-judge, synthetic data, human-in-the-loop processes and runtime safety / quality controls
Identify and implement "flywheels" and process that drive quality and performance through continuous iterative improvements
Own the integration of AI systems with Chip's existing infrastructure, including async patterns and SDK design
Technical Leadership
Set the technical bar for AI engineering at Chip — reviewing work, raising standards, and mentoring engineers

Deep hands-on experience designing and building multi-agent AI systems in production — not just configuring existing frameworks
Proven ability to take AI systems from concept through to production with long-term ownership
Track record of solving hard technical problems: large context windows, hallucination mitigation, novel orchestration patterns
Experience building customer-facing AI systems in regulated, high-trust, or high-risk domains is a strong plus.
Experience building AI systems on AWS is strongly preferred, particularly using services such as Bedrock, SageMaker, ECS, and EventBridge.
Expert-level understanding of agentic architectures: orchestration, inter-agent communication, state and context management
Strong experience with evaluation frameworks, retrieval systems, model behaviour analysis and production observability for AI systems
Comfortable working across the full stack — infrastructure, services, and AI layer — to ship end-to-end solutions
Stays current with the fast-moving AI landscape and is genuinely excited about being at the forefront of what's possible.

Discretionary Performance-Related Annual Bonus of up to 10% (Cash) and 5% (Shares) based on your gross annual salary.
Workplace pension scheme - We invest in your future with a workplace pension scheme, contributing 5% on earnings up to £50,000.
Private medical insurance (medical history disregarded)
Employee Assistance Programme
Cycle to work scheme
Season ticket loan
Free ChipX subscription for UK-based employees
Flexible working arrangements
28 days holiday plus bank holidays, plus the days between Christmas and New Year
Annual training budget for courses, workshops, or conferences to help you advance your career.
£30 per month Chip Fitness Benefit to suit your Mental/Physical Wellbeing
Company laptop
Opportunity to have a huge impact on our product while fast-tracking your knowledge, responsibility and skills in a high-growth fintech startup