At a Glance
- Tasks: Design and develop cutting-edge AI systems using Python and LLMs for finance.
- Company: Join a global finance technology consultancy with top-tier clients.
- Benefits: Earn up to £90k, enjoy private medical care, gym membership, and flexible holidays.
- Other info: Collaborative environment with opportunities for career growth and skill development.
- Why this job: Make an impact in AI engineering while working with innovative technologies.
- Qualifications: 2.1 degree in Computer Science or related field; strong Python and AI experience required.
The predicted salary is between 90000 - 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
- Flexible holiday scheme
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
Join a leading global finance technology consultancy that values innovation and collaboration, offering a dynamic work culture where your expertise in AI and LLMs will thrive. With competitive benefits including a salary up to £90k, private medical care, and a flexible holiday scheme, you'll find ample opportunities for professional growth while working with prestigious clients in the financial sector. Embrace the chance to make a meaningful impact in a supportive environment that prioritises employee well-being and development.
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 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 that Senior AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and MLOps. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI systems and Python. Be ready to discuss your experience with deploying models at scale and how you've tackled challenges in previous roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining us. Plus, it gives you a better chance to stand out in the hiring process.
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 highlights your experience with AI, LLMs, and Python. We want to see how your skills align 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 engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Projects:If you've worked on any cool AI projects, make sure to mention them! We love seeing practical examples of your work, especially if they involve deploying LLMs or building MLOps 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 be ready to discuss your experience with LLMs and MLOps. Be prepared to explain how you've deployed models at scale and the challenges you've faced. This is your chance to showcase your technical prowess!
✨Showcase Your Problem-Solving Skills
During the interview, expect to tackle some real-world problems. Think about how you've approached complex issues in previous roles, especially in Agile environments. Use specific examples to illustrate your thought process and how you arrived at solutions.
✨Communicate Like a Pro
Since this role involves guiding multidisciplinary teams and clients, strong communication skills are key. Practice explaining complex AI concepts in simple terms. This will demonstrate your ability to engage stakeholders effectively and ensure everyone is on the same page.
✨Be Ready for Scenario-Based Questions
Prepare for questions that ask how you would handle specific scenarios related to AI engineering and GenAI adoption. Think about your consultative approach and how you would guide teams through strategic decisions. This will show your understanding of the consultancy aspect of the role.
