Full time
Information Technology
Telecommunications
Job Description
Requirements
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
High agency IC - owns problems end-to-end without waiting for direction
Comfortable in a small, fast-moving team where the scope of your impact is large and visible
Collaborative and generous with knowledge - raises the technical capability of those around you
Interested in the commercial and product context of the systems you build, not just the engineering
We're looking for someone who's genuinely excited about Chip and energised by the opportunity to help build the future of wealth, making saving, investing and pensions simpler and more accessible for everyone
We work in a regulated space, so the bar is high. But we've built a team of smart, thoughtful people who care about doing great work and enjoy doing it together. Technical skills matter, obviously. But they're not the only thing we hire for
We want real people. People with interests, perspective and personality. The best teams are made up of individuals who bring different experiences into the room, not just polished CVs and good interview answers
So alongside the technical side, we'll be looking for empathy, self-awareness, sound judgement, resilience and a collaborative mindset. People who are good to work with, especially when things get hard
What the job involves
This is a senior individual contributor role at the technical heart of Chip's AI chapter. You will be a key technical contributor to our agentic AI systems, working closely with the Head of AI and the wider engineering team to design, build and scale the infrastructure that powers our customer-facing AI products
You will have significant technical ownership - this is not a role for someone who wants to configure existing frameworks. We are looking for someone who can design novel solutions to hard problems and take them all the way to production
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
Work closely with the Head of AI on technical strategy and architectural direction
Partner with the AI Product Manager and wider engineering teams on technically complex initiatives
Contribute to Chip's company-wide AI engineering standards and governance
You will report to the Head of AI and work alongside a small team of Backend Engineers in building and maintaining Chip's AI Platform
You will also work closely with the product teams who are building customer-facing features on top of your platform, as well as stakeholders across the business on internal AI-driven opportunities
Monday to Thursday: 9:00 AM - 6:00 PM
Friday: 8:00 AM - 4:00 PM (Start your weekend early!)
Enjoy a structured yet balanced workweek, with an early Friday finish to kickstart your weekend!