Senior Software Engineer - AI Products

Citigroup; Greater London; Hybrid; GBP 62,000 - 102,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Pension plan

Paid parental leave

27 days annual leave

Job summary

Citigroup is seeking a Senior AI/Software Engineer to design, build and deploy production-grade AI systems in a regulated banking environment. The role focuses on end-to-end ownership, from problem definition and experimentation to deployment and ongoing improvement.

The candidate will develop Generative AI solutions for document processing, data extraction, and workflow automation, collaborating with stakeholders across Risk, Engineering, and Product teams.

Qualifications

• Proven experience as a Senior Software Engineer, AI Engineer, Technical Lead, or in a similar senior engineering role.
• Strong hands-on software engineering experience, delivering production systems.
• Strong Python development skills for robust, maintainable services.
• Practical experience applying Generative AI and Large Language Models.

Responsibilities

• Design, build, and support production-grade AI software and services across the organisation.
• Own technical solutions end-to-end from problem definition to deployment and improvement.
• Develop innovative Generative AI solutions for complex business problems, including data extraction and translation.

Skills

Senior Software Engineer

AI Engineer

Technical Lead

Production systems

Tools

Kubernetes

OpenShift

Oracle

PostgreSQL

Jenkins

MLflow

Job description

Salary: £62,000 - 102,000 per year

Requirements:

• Proven experience as a Senior Software Engineer, AI Engineer, Technical Lead, or in a similar senior engineering role.
• Strong hands-on software engineering experience, with a track record of building and delivering production systems rather than prototypes.
• Strong Python development skills and experience building robust, maintainable applications and services.
• Practical experience applying Generative AI and Large Language Models to real-world business problems.
• Extensive experience designing and optimising prompts across different Generative AI models, with a rigorous approach to prompt structure, clarity, and performance.
• Experience building production solutions in areas such as Intelligent Document Processing, document/data extraction, NLP-based classification, machine translation, fraud/anomaly detection, or workflow automation.
• Experience evaluating Generative AI applications, including experiment design, model evaluation, and performance measurement; exposure to MLflow is advantageous.
• Strong understanding of software architecture, technical design, and functional programming principles.
• Experience working with databases such as PostgreSQL or Oracle, with exposure to Kubernetes/OpenShift advantageous.
• Practical experience with CI/CD and modern software delivery tooling such as Jenkins, uDeploy, Tekton, Harness, or equivalent.
• Exposure to Agentic AI and Agent Development Kit (ADK).
• Strong problem-solving and analytical skills, with the ability to troubleshoot complex distributed systems.
• Ability to work effectively in a highly regulated environment where resilience, explainability, security, and auditability are critical.
• Excellent communication and collaboration skills, with the confidence to work with technical and non-technical stakeholders at all levels.
• A creative and adaptable mindset, with the ability to turn ambiguous, first-of-a-kind problems into practical and dependable production solutions.

Responsibilities:

• Design, build, and support high-quality, production-grade AI software and services that scale across the organisation.
• Own technical solutions end-to-end, from problem definition and experimentation through to deployment and ongoing improvement.
• Develop innovative Generative AI solutions for complex business problems, including intelligent document processing, data extraction, classification, translation, fraud detection, and workflow optimisation.
• Evaluate and experiment with AI models, prompts, and architectures, selecting and productionising the most effective approaches.
• Lead the technical design and architecture of AI products, ensuring solutions are resilient, scalable, explainable, and auditable.
• Work closely with Product, Risk, Engineering, and other AI platform teams to deliver solutions that meet business and regulatory requirements.
• Partner with senior stakeholders to shape product vision, technical strategy, and roadmaps.
• Provide technical leadership, guidance, and mentorship to other engineers, helping to raise engineering standards across the team.
• Drive strong engineering practices through technical design reviews, code reviews, automated testing, and continuous improvement.
• Troubleshoot complex distributed systems and proactively identify opportunities to improve performance, reliability, and scalability.
• Contribute to the evolution of our AI technology, engineering practices, and procedures.

Technologies:

• Agentic AI
• AI
• CI/CD
• CTO
• Support
• Jenkins
• Kubernetes
• MLflow
• OpenShift
• Oracle
• PostgreSQL
• Python
• Security

More:

We are Citis Enterprise AI Products team, a small, high-impact global team within the Citi COO/CTO organisation, dedicated to building innovative AI solutions for the wider bank. We are at the forefront of Generative AI, delivering capabilities that enable safe and efficient use of Generative AI at scale, and creating services, applications, and libraries that power Intelligent Document Processing to drive real-world business impact. This is a senior role within a deliberately flat team structure, where you will take ownership, bring fresh thinking, and collaborate across disciplines to deliver outcomes that genuinely make a difference. You will work on novel, production-grade solutions in a regulated banking environment, gaining meaningful exposure to AI development and a broad range of technical work in a fast-moving, delivery-focused environment. Based in London, we offer a business casual workplace with a hybrid working model of up to 2 days working from home per week, a competitive base salary, and benefits including 27 days annual leave plus bank holidays, a discretionary annual performance-related bonus, private medical care and life insurance, an employee assistance program, a pension plan, and paid parental leave.