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- Tasks: Join a dynamic team to develop innovative GenAI solutions in finance.
- Company: Global Asset Manager with a tech-driven approach and diverse culture.
- Benefits: Competitive salary up to £180k, private medical insurance, and 25 days annual leave.
- Other info: Hybrid work model with excellent career growth and ongoing training opportunities.
- Why this job: Make a real impact in finance while working with cutting-edge GenAI technologies.
- Qualifications: Strong Python skills and experience with LLMs and RAG systems required.
The predicted salary is between 180000 - 180000 £ per year.
Are you a Senior Software Engineer with a strong knowledge of the capabilities of GenAI? You could be progressing your career in a hands-on role at a tech driven, global Asset Manager with multiple billions of dollars under management, on a 12 month Fixed term Contract.
As a GenAI Engineer you'll join the Investment Technology Research team and work closely with Investment Analysts on a mix of prototyping, evaluation and engineering. The work is interesting and complex, spanning Python development, RAG and retrieval workflows, MCP and tool integrations, model evaluation and the engineering needed to turn promising ideas into reliable internal tools. You'll be at the intersection of platform engineering, data engineering and developer experience, with a strong emphasis on enabling others. You will work directly with stakeholders and users to identify opportunities, troubleshoot issues and deliver platform capabilities that improve the quality, speed and reliability of analytical functions. You'll seek continuous improvement and pick new things up on the job as the tech stack evolves.
Location / WFH: There's a hybrid work from home policy with three days in the London office per week where you'll join a supportive, diverse team environment with a large range of facilities.
About you:
- You have experience within an Investment Management or financial services environment.
- You have advanced skills with Python.
- You have experience of building applications using LLMs or other modern GenAI techniques.
- You have experience with RAG systems, retrieval design and grounding model outputs.
- You have experience of integrating tools, APIs, LLM SDKs and MCP-style capabilities into GenAI workflows.
- You have experience designing or running evaluations for GenAI systems, including working with users to assess output quality.
- You have experience using agentic coding tools such as Claude Code, Codex, or similar.
- You have strong problem-solving skills, pragmatism and sound judgement around the strengths and limits of LLM-based systems.
- You have experience of working with stakeholders and users to understand problems and build effective solutions.
- You have achieved a 2.1 or above from a top tier university in a STEM discipline.
What's in it for you:
- Salary to £180k.
- Pension.
- Private medical insurance including 24 hour GP access.
- Enhanced parental leave policy.
- 25 days annual leave.
- Ongoing training and development and financial support for courses.
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
GenAI Engineer Python LLM - Finance in Slough employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GenAI Engineer Python LLM - Finance in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work with GenAI. A casual chat can lead to opportunities you won't find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those involving LLMs or GenAI techniques. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to GenAI and Python development. Practice explaining complex concepts in simple terms – it shows you can communicate effectively with stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace GenAI Engineer Python LLM - Finance in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and GenAI techniques. 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 excited about this role and how your background in investment management or financial services makes you a great fit for us.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and pragmatically, especially when it comes to LLM-based systems.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves, and we can’t wait to hear from you!
How to prepare for a job interview at Client Server
✨Know Your GenAI Stuff
Make sure you brush up on your knowledge of GenAI, especially in relation to Python and LLMs. Be ready to discuss specific projects you've worked on that involved these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, particularly in a financial services context. Think about times when you identified issues with GenAI systems or workflows and how you implemented effective solutions.
✨Engage with Stakeholders
Since the role involves working closely with stakeholders, be prepared to discuss how you've collaborated with users in the past. Share experiences where you gathered requirements or feedback to improve tools or processes, demonstrating your ability to communicate effectively.
✨Stay Current with Tech Trends
The tech stack is always evolving, so show your enthusiasm for continuous learning. Mention any recent developments in GenAI or related fields that excite you, and how you plan to keep your skills sharp while working in this role.