Capgemini on cord

Capgemini

Senior AI Software Engineer

External position
Cardiff, UK
Hiring internally for Capgemini?
Consultancy · Engineering · Data
A global leader in consulting, digital transformation, technology and engineering services
Active
over 6 months ago
Posted
a week ago
Checked
cord regularly checks that external positions are still open
2 days ago

Skills & Experience

Job roles: AI Engineer
Experience level: Senior
Core skills considered: Artificial Intelligence, Azure, Python, C#, APIs
Other skills considered: Cloud Computing, Docker, Kubernetes, Data Security

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

You will design, build and ship agentic AI applications on Microsoft Azure for clients in regulated and high-governance sectors. This is a hands-on engineering role in a product-aligned team: you will take a solution from first design through to live production, and then keep it running.

We work across Retail, Utilities, Manufacturing, Transport, Health and the Public Sector, so you will pick up new domains quickly and often.

Your Role


Delivery and technical leadership

  • Act as a trusted technical voice for architects, product owners and client stakeholders, turning business problems into agentic AI solution designs.
  • Own solutions across the full lifecycle, from design through to production support.
  • Explain technical trade-offs and AI risk and value clearly to non-technical stakeholders.
  • Reflect compliance and audit requirements in technical delivery decisions when working in regulated client environments.
  • Mentor and pair with less experienced colleagues.

Engineering

  • Build and deploy agentic AI applications and multi-agent systems on Azure using Microsoft Foundry (formerly Azure AI Foundry) and the Azure AI Services portfolio, including Azure OpenAI, Azure AI Search and Azure AI Document Intelligence.
  • Develop production-grade AI-enabled services and APIs in Python and C#/.NET, integrating agents and models with enterprise applications and data sources.
  • Apply prompt engineering, retrieval-augmented generation and agent orchestration patterns to build reliable, tool-using workflows.
  • Implement guardrails, content safety, evaluation, monitoring and governance for generative and agentic solutions.
  • Integrate with Azure-native services (Functions, Container Apps, AKS, API Management) and CI/CD pipelines.
  • Support LLMOps practices: prompt and model versioning, automated evaluation, deployment pipelines and observability for AI workloads in production.

Your Skills and Experience

Production experience building LLM-based applications on Azure that went live and that you then supported, rather than proofs of concept that stopped at demo.

Strong production coding in Python and/or C#/.NET, including building and integrating APIs and backend services.

Practical depth in retrieval-augmented generation: chunking and embedding strategy, retrieval tuning, and evaluating the groundedness and accuracy of outputs in a live system.

Client-facing delivery experience, comfortable with ambiguity and shifting priorities, and able to explain technical trade-offs to people who are not engineers.

We use all of the following. You are not expected to arrive with them, and where you do not have them we will help you develop them.

  • Breadth across agent orchestration frameworks (Semantic Kernel, LangGraph, AutoGen) so you can make an informed call on which fits a use case rather than defaulting to the one you know.
  • Judgement on the model landscape: selecting between proprietary and open-weight models on cost, latency and quality, and revisiting that as the landscape shifts.
  • Multi-agent systems and tool-calling and function-calling patterns.
  • Containerisation and orchestration for AI workloads at scale (Docker, AKS).
  • Vector search at scale (Azure AI Search, Cosmos DB vector search).
  • LLMOps and MLOps tooling and automated evaluation harnesses.
  • Data privacy, security and compliance for AI systems, including responsible AI standards and GDPR considerations.
  • Delivery in regulated and high-governance environments.

Company Benefits

Private pension.
Flexible Benefits funding (additional 15% of base salary paid monthly).
Senior AI Software Engineer at Capgemini
Position posted a week 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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