Senior AI Software Engineer

RevTech; Greater London; Hybrid; GBP 70,000 - 98,000; Full time

Job summary

RevTech in London is seeking a Senior AI Engineer to design, build, and deploy AI-driven solutions, shaping company-wide AI strategy within a high-scale fintech. You will partner with product, data science and engineering teams to embed AI into core workflows.

This is a hybrid role offering ownership of LLM-based applications, API design, deployment practices across AWS/GCP/Azure, and mentoring peers while setting technical direction for AI adoption.

Qualifications

• Experience applying LLMs to real-world problems.
• Strong backend and API design skills.
• Ability to collaborate across product, data science and engineering teams.

Responsibilities

• Partner with cross-functional teams to identify and deliver high-impact Generative AI use cases.
• Design and build APIs and microservices that embed AI capabilities into core workflows.
• Develop, fine-tune, and deploy LLM-based applications (chatbots, assistants, knowledge extraction tools).
• Architect scalable AI infrastructure on AWS, GCP, or Azure using containerisation and IaC.
• Implement CI/CD pipelines and secure, compliant AI deployment practices.
• Build intuitive interfaces for teams to interact with AI-driven features.
• Continuously optimise performance, reliability, and scalability of AI systems.

Skills

LLMs experience

Backend engineering

Cloud computing

RESTful APIs

Team collaboration

Tools

Docker

Kubernetes

Terraform

AWS

GCP

Azure

Job description

Fast-growing Global Fintech | London HQ (hybrid)

Salary: Up to £98k DOE

Location: London – 3 days p/w

Our client is a leading global payments platform, processing billions of transactions a year for some of the world's best-known digital brands. With a footprint spanning six continents and a reputation for moving fast and thinking big, they're now investing heavily in Generative AI to transform how the business operates — and they're looking for a Senior AI Engineer to help lead that charge.

This is a rare opportunity to join a newly established AI Centre of Excellence, working at the cutting edge of applied Generative AI within a high-scale, high-stakes fintech environment. You'll not only build and deploy AI solutions but help shape company-wide AI strategy and best practice.

The Role

As a Senior AI Engineer, you'll design, build, and deploy AI-driven solutions that enhance products and streamline operations, working closely with product, data science, and engineering teams. You'll also play a key role in mentoring peers and setting the technical direction for AI adoption across the business.

Key responsibilities include:

• Partnering with cross-functional teams to identify and deliver high-impact Generative AI use cases
• Designing and building APIs and microservices that embed AI capabilities into core workflows
• Developing, fine-tuning, and deploying LLM-based applications (chatbots, assistants, knowledge extraction tools, etc.)
• Architecting scalable AI infrastructure on AWS, GCP, or Azure using containerisation and Infrastructure-as-Code
• Implementing CI/CD pipelines and secure, compliant AI deployment practices
• Building intuitive interfaces for teams to interact with AI-driven features
• Continuously optimising the performance, reliability, and scalability of AI systems

What You'll Bring

• Hands-on experience with LLMs (GPT, BERT, Llama, Gemini, etc.) applied to real-world problems
• Strong backend engineering skills, including RESTful APIs and microservices architecture
• Solid grounding in cloud computing (AWS, GCP, or Azure), Docker, Kubernetes, and Terraform
• Strong problem-solving ability and comfort operating in a fast-paced environment
• Excellent communication and cross-team collaboration skills

Nice to Have

• C# or Java proficiency
• Experience fine-tuning and prototyping Generative AI applications
• Awareness of ethical AI practices and AI governance standards
• A track record of rapid prototyping with measurable business impact
• Experience with distributed systems and large-scale data processing
• Open-source contributions or a strong GitHub portfolio
• Prior experience in the payments industry (a strong plus)