At a Glance
- Tasks: Design and develop cutting-edge AI systems using multi-modal LLMs and MLOps.
- Company: Join a global finance tech consultancy with top-tier clients.
- Benefits: Enjoy a competitive salary, private medical care, gym membership, and more.
- Other info: Collaborative environment with opportunities for career growth and development.
- Why this job: Make an impact in AI engineering while working with innovative technologies.
- Qualifications: Degree in Computer Science or related field; strong Python and AI experience required.
The predicted salary is between 75000 - 90000 € per year.
Are you an experienced Software Engineer with a strong 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 Senior AI 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.
Senior AI Engineer Python LLM - Finance Consultancy employer: Client Server Ltd.
Join a leading global finance technology consultancy that prioritises employee well-being and professional growth. With a competitive salary of up to £90k, comprehensive benefits including private medical care, gym membership, and a supportive work culture, you will thrive in an environment that fosters innovation and collaboration. This role offers unique opportunities to work with prestigious clients while advancing your career in AI engineering within the vibrant city of London.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Python LLM - Finance Consultancy
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and AI sectors. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and MLOps. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI engineering and be ready to discuss your experience with Python and deploying models. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior AI Engineer Python LLM - Finance Consultancy
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Engineer. Highlight your experience with Python, LLMs, and MLOps, and don’t forget to mention any relevant projects or achievements that showcase your skills.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Be sure to connect your experiences to the specific requirements mentioned in the job description.
Showcase Your Projects:If you've worked on any interesting AI projects, make sure to include them in your application. Whether it's deploying LLMs or building MLOps pipelines, we want to see what you've done and how it relates to the role!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly!
How to prepare for a job interview at Client Server Ltd.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, LLMs, and MLOps. Be ready to discuss your hands-on experience with deploying large language models and multi-modal systems. Prepare examples of how you've tackled challenges in these areas.
✨Showcase Your Python Skills
Since this role requires a strong Python background, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to API development and agentic workflows.
✨Communicate Clearly
As a Senior AI Engineer, you'll need to guide teams and clients. Practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively, especially when discussing strategic decisions in AI engineering.
✨Be Agile Minded
Familiarise yourself with Agile methodologies, as this role involves project management in Agile environments. Be ready to discuss your experience working in such settings and how you’ve adapted to changes during projects.
