At a Glance
- Tasks: Design and develop autonomous AI systems using cutting-edge technologies.
- Company: Global finance technology consultancy with top-tier clients.
- Benefits: Salary up to £90k, private medical care, gym membership, and more.
- Other info: Collaborative environment with excellent career progression opportunities.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: 2.1 degree in Computer Science or related field and strong Python skills.
The predicted salary is between 75000 - 90000 £ per year.
London, Greater London | £75k - £90k per year
Are you an experienced Backend Software Engineer with strong Python skills and a good knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations.
What's in it for you:
- Salary to £90k
- Pension, Life Assurance, Income Protection
- Private medical care for you and your family, including mental health
- Travel Insurance
- Charitable giving
- Gym membership for you and your family
Your role:
As a Backend Software Engineer you'll design and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video), design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG, optimise and deploy large language and multi-modal models with a focus on performance and latency and build scalable MLOps pipelines and full-stack applications to support robust, production‑grade AI deployments. Using a consultative approach you'll guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption.
About you:
- You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines
- You have a strong Python software engineering background including API development
- You have hands‑on experience deploying LLMs and multi‑modal models at scale in production
- You have a strong understanding of scalable MLOps, observability and cloud‑native AI deployment
- You're collaborative and pragmatic with advanced stakeholder communication, problem-solving and project management skills in Agile environments
Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques.
Apply now to find out more about this opportunity.
Backend Software Engineer Python LLM - Finance employer: Client Server Ltd.
Join a leading global finance technology consultancy that values innovation and collaboration, offering a dynamic work culture in the heart of London. With competitive salaries up to £90k, comprehensive benefits including private medical care for you and your family, and ample opportunities for professional growth in cutting-edge AI technologies, this role is perfect for those looking to make a meaningful impact in the finance sector while enjoying a supportive work environment.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Software Engineer Python LLM - Finance
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance tech space and let them know you're on the lookout for opportunities. A friendly chat can lead to referrals that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, LLMs, and MLOps. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common coding challenges and be ready to discuss your experience with AI systems and collaborative projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role and connect with us directly. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Backend Software Engineer Python LLM - Finance
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python skills and experience with LLMs. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and finance, and how your skills can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on any cool projects involving MLOps or agentic coding, make sure to mention them! We’re keen to see practical examples of your work, especially if they relate to scalable AI systems.
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’s super easy!
How to prepare for a job interview at Client Server Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the intricacies of LLMs and MLOps. Be ready to discuss your past projects and how you've deployed models at scale. This will show that you’re not just familiar with the tech, but that you can actually apply it.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you had to optimise performance or manage stakeholder expectations. This will demonstrate your pragmatic approach and ability to work collaboratively.
✨Understand the Company’s Clients
Research the types of clients the consultancy works with, especially in finance. Knowing their needs and how your role fits into their strategy will help you tailor your answers and show that you’re genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI engineering and GenAI adoption. This not only shows your enthusiasm for the role but also your understanding of the industry. It’s a great way to engage with the interviewers and leave a lasting impression.
