Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build AI-driven tools and platforms using cutting-edge technologies.
- Company: Leading hedge fund at the forefront of AI innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Why this job: Shape the future of AI engineering and make a real impact in tech.
- Qualifications: 5-7+ years in software/AI engineering with strong Python skills.
- Other info: Collaborative culture with a focus on automation and scalability.
The predicted salary is between 48000 - 72000 £ per year.
Our client, a leading hedge fund, is seeking a Software Engineer to join their Platform team in London. This team is at the forefront of driving adoption, enhancement, and standardisation of agentic AI platforms across the business. They design and maintain cutting‑edge solutions that enable AI‑driven software delivery, embedding intelligent automation into infrastructure and tooling. You will work closely with applied AI groups and engineering teams to champion innovation, best practices, and emerging technologies to accelerate development and operational efficiency. In this role, you will design and build AI‑enabled platforms and tools that leverage LLMs, code generation, and intelligent agents to transform software engineering workflows. You’ll lead projects that automate processes, deploy AI agents, and pilot generative and agentic technologies across Core Technology. To succeed, you’ll bring deep expertise in AI agent frameworks (OpenAI, Claude, LangChain), strong Python skills, and experience deploying AI/ML solutions in production. This is a unique opportunity to shape the future of AI engineering within a high‑performing, technology‑driven environment.
Responsibilities
- Design and build AI‑driven tools and platforms using LLMs, code generation, and intelligent agents.
- Integrate AI capabilities into CI/CD pipelines, developer tooling, and infrastructure automation.
- Collaborate with platform and applied AI teams to identify and deliver AI‑enhanced solutions.
- Lead AI projects to automate processes and deploy intelligent agents within Core Technology and pilot technologies, establishing best practices across engineering teams.
Requirements
- 5-7+ years in software, platform, or AI/ML engineering with a focus on automation and scalability.
- Strong programming skills in Python and one other language (e.g., Java, C#, C++, Go).
- Expertise with AI agent frameworks (OpenAI SDK, Claude SDK, LangChain) and production deployments.
- Solid experience in CI/CD, infrastructure as code, Kubernetes, and distributed systems.
- Proven ability to design and implement scalable, reliable, and testable software and infrastructure solutions.
AI Software Engineer - Platform Team in City of London employer: Selby Jennings
Contact Detail:
Selby Jennings Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer - Platform Team in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI and software engineering. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI agent frameworks or Python. Having tangible examples of your work can really set you apart when chatting with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common algorithms and data structures, and be ready to discuss your experience with CI/CD and infrastructure automation. We’ve got your back with resources to help you ace those interviews!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to shape the future of AI engineering. Let’s make it happen together!
We think you need these skills to ace AI Software Engineer - Platform Team in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in AI agent frameworks and Python, as these are key for the role. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how you can contribute to our Platform team. Share specific examples of projects you've led or technologies you've worked with that relate to the role. This is your chance to shine!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving AI/ML solutions or automation, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back on the details!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Selby Jennings
✨Know Your AI Frameworks
Make sure you brush up on your knowledge of AI agent frameworks like OpenAI, Claude, and LangChain. Be ready to discuss how you've used these technologies in past projects and how they can be applied to the role you're interviewing for.
✨Showcase Your Python Skills
Since strong Python skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve automation and scalability to show off your expertise.
✨Understand CI/CD and Infrastructure Automation
Familiarise yourself with CI/CD pipelines and infrastructure as code. Be prepared to explain how you've integrated AI capabilities into these processes in previous roles, as this will be crucial for the position.
✨Prepare for Collaboration Questions
This role involves working closely with various teams, so expect questions about collaboration. Think of examples where you've successfully led projects or worked with others to deliver AI-enhanced solutions, highlighting your teamwork and leadership skills.
