Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Generative AI Software engineer

Citigroup Inc.
London
10 months ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Machine Learning/ AI Engineer - Agentic Systems

Machine Learning/ AI Engineer - Agentic Systems

Data Scientist/Senior Data Scientist - Generative AI

Data Scientist / Senior Data Scientist

Are you looking for a career move that will allow you to take a strategic project from zero to one? Then bring your extensive coding experience and passion for change and be part of the team building a green-field development at scale.

By joining Citi’s Common Platform Engineering team, you will help create and run the Generative AI platform for Citi. Our remit encompasses large scale engineering challenges on-premise and on cloud, along with cutting edge use of LLMs and supporting toolchains to address the use-cases of our users across the bank.

We are a startup within Citi, where everyone is actively coding. We need innovative and creative self-starters who have previous experience in developing large-scale platforms, data and ML, finance, platform engineering, and SRE.

Responsibilities:

  • Design and build high-quality, highly reliable software
  • Partner closely with other development teams, quants, and subject-matter experts in our businesses
  • Ensure our software platforms are compliant with Citi's security and SDLC (Software Development Life Cycle) processes
  • Run the platform at scale while continuing to innovate and evolve

Skills & Qualifications:

  • Strong knowledge and deep experience of Python and toolchains
  • Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology
  • Experience with CI/CD and MLOps tools/frameworks (e.g. MLflow and W&B)
  • Experienced in building and running a large platform at scale
  • Strong distributed systems skills and knowledge
  • Strong system architecture skills
  • Knowledge of other modern, functional languages e.g. Scala, Clojure, Rust, Elixir
  • Solid understanding of REST-ful design
  • Experience with Kubernetes
  • Development experience of at least one public cloud provider

If you are actively coding, have a passion for Generative AI, and want to be part of developing a brand-new team – then apply today.

What we’ll provide you:

This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career.

By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:

  • 27 days annual leave (plus bank holidays)
  • A discretional annual performance-related bonus
  • Private Medical Care & Life Insurance
  • Employee Assistance Program
  • Pension Plan
  • Paid Parental Leave
  • Special discounts for employees, family, and friends

Alongside these benefits, Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive.

#LI-AS1

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Systems & Engineering

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Citi is an equal opportunity and affirmative action employer.

Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Citigroup Inc. and its subsidiaries ("Citi”) invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity reviewAccessibility at Citi.

View the "EEO is the Law" poster. View theEEO is the Law Supplement.

View theEEO Policy Statement.

View thePay Transparency Posting.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.