Waystone on cord

Waystone

AI Engineer

External position
Leeds, UK
Hiring internally for Waystone?
Finance
Providing certainty in the world of asset management
Posted
a month ago
Checked
cord regularly checks that external positions are still open
15 hours ago

Skills & Experience

Job roles: AI Engineer
Experience level: Senior
Core skills considered: APIs, Microservices, Python, .NET
Other skills considered: Typescript, Cloud Computing, Scrum, Agile

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Reporting to the AI & Automation Manager, the AI Engineer is responsible for embedding artificial intelligence capabilities into Waystone's engineering, automation, and assurance ecosystems. Acting as a bridge between cutting-edge AI technologies and existing high-code and low-code platforms, the role focuses on AI enablement rather than foundational model building, ensuring intelligence is thoughtfully integrated into systems and workflows. The AI Engineer designs, develops, and assures AI-enabled solutions, improves automation efficiency, elevates engineering quality, and mentors teams on responsible and effective AI adoption. The mission is to drive innovation, productivity, and intelligent automation across Waystone while upholding compliance, security, and architectural integrity. The role requires strong hands-on engineering skills, practical understanding of agentic AI patterns, and the ability to guide teams on effective and responsible AI usage.

Essential Duties and Responsibilities

AI Enablement and Integration:

  • Hands-on contributor to the design and development of AI-enabled solutions, capable of writing both production-quality code and rapid experimental prototypes.
  • Develop and implement AI-enabled microservices, APIs, applications, and internal tools.
  • Integrate AI capabilities following secure, scalable engineering best practices.
  • Design, build and validate AI-driven solutions leveraging providers such as OpenAI and Anthropic.
  • Enhance low-code/no-code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant.
  • Implement Model Context Protocol (MCP) servers for secure AI-to-system connectivity.
  • Lead AI-based document parsing and intelligent data extraction initiatives.
  • Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents.
  • Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high-value AI opportunities across Waystone.

AI Engineering:

  • Prototype AI features and iterate towards production-ready capabilities.
  • Build agentic workflows using frameworks such as LangChain or Microsoft Agent Framework, with a solid understanding of agent fundamentals (tools, memory, orchestration, context control).
  • Implement AI agents with tool integration, memory, context control, and guardrails.
  • Develop retrieval-augmented workflows to enhance context, reliability, and performance.
  • Perform quality assurance on AI outputs by implementing robust AI observability practices, including monitoring model behaviour, detecting anomalies, and ensuring visibility into AI performance and reliability.
  • Contribute to ongoing research and development, staying current with emerging AI tools, frameworks, and techniques to identify opportunities for innovation and improvement.
  • Apply sound judgment to determine when not to use AI, ensuring traditional deterministic solutions are chosen when they are safer, simpler, or more cost effective.
  • Ensure AI-enabled solutions consider full total cost of ownership, including token consumption, performance, observability, and ongoing maintenance, with awareness of cost-efficiency and model-selection trade-

Knowledge Sharing, Mentoring and Governance:

  • Mentor and support both technical and non-technical staff (e.g. citizen developers), fostering knowledge sharing and strengthening AI fluency across Waystone.
  • Act as AI subject matter expert for engineering, testing, architecture teams, as well as business functions across the wider organisation. Deliver demos, internal evangelism, and produce reference documentation.
  • Nurture the wider internal community, helping uplift AI adoption and responsible, high-value usage across the business.
  • Lead the design and documentation of AI-enabled solutions, contributing to Solution In Principle (SIP) or Solution Architecture Design (SAD) documents as needed.
  • Collaborate with delivery teams throughout the project lifecycles, offering guidance on AI-enabled solutions and addressing technical challenges as they arise.
  • Develop internal best practices for prompt engineering, AI-processed data handling, AI-assisted coding, creation and sharing of custom agents, and responsible AI usage.
  • Contribute to AI governance, ethics, compliance, and risk control activities.
  • Ensure AI solutions comply with enterprise architecture principles, security policies, data governance standards, human-in-the-loop controls, and regulatory requirements.
  • Monitor and mitigate AI risks, raising concerns early and recommending remedial actions.

Requirements

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

Knowledge, Skills and Abilities:

  • Deep understanding of the distinction between Generative AI and Agentic AI, including their foundations, capabilities, and appropriate use cases.
  • Strong understanding of AI, ML and LLM concepts, including prompt engineering, prompt grounding, iterative loop techniques, context windows, embeddings, RAG, agentic workflows.
  • Proven ability to integrate AI capabilities both into low-code automation flows and high-code stacks, including, applications, APIs, microservices, distributed systems, and development or testing tools.
  • Solid software development background with hands-on coding experience in one or more engineering ecosystem such as .NET (C#), Python, or TypeScript.
  • Excellent communication skills, with the ability to translate complex AI concepts for non-experts and to effectively influence and collaborate with stakeholders at all levels, both technical and non-technical.
  • Strong writing skills, with the ability to contribute to AI literacy and AI fluency documentation.
  • Strong understanding of responsible AI principles, including governance, bias mitigation, compliance, and risk-based decision-making.
  • Analytical thinking with excellent problem-solving ability and keen attention to details.
  • Ability to mentor developers and testers, and to drive innovation across engineering, QA, and architecture.
  • Ability to assess AI-enabled capabilities in third-party SaaS platforms (e.g., Appian, Salesforce,etc) and provide guidance on responsible, effective adoption.

Experience:

  • 5+ years development experience across APIs, integrations, microservices, or full-stack development.
  • Demonstrated real-world experience supported by a portfolio of work that highlights applied skills, solution delivery, and measurable impact, including personal or open-source AI projects where applicable.
  • Solid experience integrating AI into workflows and systems across both low-code and high-code platforms.
  • Hands-on use of AI coding assistants (e.g., GitHub Copilot, Claude Code) and autonomous software engineering agents.
  • Exposure to RAG, vector databases, embeddings, and AI retrieval systems.
  • Experience working with cloud AI services and orchestrating AI agents.
  • Exposure to DevOps practices, CI/CD pipelines, infrastructure-as-code, and cloud platforms such as Azure or AWS in highly regulated enterprise environments.
  • Extensive experience with source control and version management systems.

Education:

  • Degree in Computer Science, IT, Engineering, or a related discipline (or equivalent practical experience).
  • Professional certifications in AI Fluency or specialised AI / ML technologies are advantageous, although strong self-directed learning and practical AI experience
AI Engineer at Waystone
Position posted a month ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
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