At a Glance
- Tasks: Design and develop autonomous AI systems using cutting-edge technologies.
- Company: Join a global finance tech consultancy with top-tier clients.
- Benefits: Earn up to £90k, enjoy flexible holidays, and comprehensive health coverage.
- Other info: Collaborative environment with excellent career growth and learning opportunities.
- Why this job: Make an impact in AI engineering while working on innovative projects.
- Qualifications: 2.1 degree in Computer Science or related field; strong Python skills required.
The predicted salary is between 90000 - 90000 £ 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
- Flexible holiday scheme
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.
Backend Software Engineer Python LLM - Finance in London employer: Client Server
Join a leading global finance technology consultancy that values innovation and collaboration, offering a dynamic work culture where your expertise in Python and AI can truly shine. With competitive salaries up to £90k, comprehensive benefits including private medical care for you and your family, and a flexible holiday scheme, this role not only supports your professional growth but also prioritises your well-being. Located in London with the option for remote work, you'll have the opportunity to engage with top-tier clients while contributing to cutting-edge AI projects in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Backend Software Engineer Python LLM - Finance in London
✨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 and LLMs. 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 MLOps and AI systems. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Backend Software Engineer Python LLM - Finance in London
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 excited about this role and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've worked on any cool AI or MLOps projects, make sure to mention them in your application. We’re keen to see your hands-on experience, especially with deploying LLMs and building scalable pipelines.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with LLMs and MLOps concepts. Be ready to discuss your hands-on experience with deploying models at scale, as well as any frameworks you've worked with like LangChain or Langfuse.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous projects. Think about times when you had to optimise performance or manage stakeholder expectations, and be ready to explain your thought process.
✨Understand the Company’s Needs
Research the consultancy and its clients in the finance sector. Knowing their pain points and how your skills can help them will show that you're not just a techie but also someone who understands the business side of things.
✨Practice Agile Communication
Since you'll be working in Agile environments, practice articulating your ideas clearly and concisely. Be prepared to discuss how you collaborate with multidisciplinary teams and manage projects effectively.
