At a Glance
- Tasks: Build AI applications that revolutionise investment processes and solve real business challenges.
- Company: Join a leading Buy Side Client in the heart of London.
- Benefits: Competitive daily rate, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and compliance.
- Why this job: Make a tangible impact by deploying cutting-edge AI solutions in finance.
- Qualifications: Experience with LLM applications, Python, TypeScript, and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
Join a leading Buy Side Client building production AI systems that transform how investment professionals work. This isn't an R&D role—you'll ship LLM-powered applications that investment and finance teams depend on daily, while simultaneously building the governed AI platform that underpins the entire organisation.
50% embedding with business teams | 50% platform engineering
What you'll build
- Embedded AI Applications
- Ship high-value LLM applications directly with Investment and Finance teams
- Turn ambiguous business problems into production-grade AI solutions
- Deploy agentic workflows using Claude and ChatGPT APIs
- Work alongside investment professionals to identify and solve real problems
- AI Platform Engineering
- Build and extend governed AI platform: LLM gateway, model control layer, privacy proxy
- Develop MCP connectors for Salesforce, M365, deal flow systems, analytics platforms, and third-party data providers
- Implement logging, audit trails, observability, and evals tooling
- Design agentic workflows spanning multiple systems with proper tracing, scoring, and regression checks
- Ensure compliance with regulatory requirements (FCA, DORA)
Essential Skills
- Production AI Engineering
- Deep practical fluency with Claude and ChatGPT APIs, tool use, structured outputs, and prompting techniques
- Track record shipping LLM‑powered applications that users depend on
- Experience with LLM gateways, privacy proxies, agent observability, or evals frameworks (even at hobby/prototype level)
- Software Engineering
- Strong Python and TypeScript for production systems
- Modern Azure infrastructure and services
- Integration patterns: REST APIs, MCP, webhooks, SSO/Entra ID
- Production code experience in regulated or enterprise environments
- Business & Communication
- Excellent communicator who can sit with investment professionals and turn conversations into code
- Ability to work with ambiguous business problems and ship concrete solutions
- Experience pairing with non‑technical stakeholders
AI Forward Deployed Engineer in London employer: Jobs via eFinancialCareers
Join a dynamic and innovative team at a leading Buy Side Client in London, where you'll have the opportunity to work on cutting-edge AI applications that directly impact investment professionals. With a hybrid work model, competitive daily rates, and a culture that fosters collaboration between technical and business teams, this role offers significant growth opportunities in a fast-paced environment. You'll be part of a forward-thinking organisation that values your contributions and encourages you to turn complex challenges into impactful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Forward Deployed Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and AI sectors on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Showcase your skills! Create a portfolio of your LLM-powered applications and any projects you've worked on. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, especially how they relate to investment professionals. Remember, they want to see how you can turn their challenges into code!
✨Tip Number 4
Don't forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Forward Deployed Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the skills and experiences mentioned in the job description. Highlight your experience with LLM applications and any relevant projects you've worked on that align with the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've tackled ambiguous business problems and delivered AI solutions, especially in finance or investment contexts.
Showcase Your Communication Skills:Since you'll be working closely with investment professionals, it's crucial to demonstrate your ability to communicate complex technical concepts clearly. Use your application to show us how you can bridge the gap between tech and business.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jobs via eFinancialCareers
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Claude and ChatGPT APIs. Be ready to discuss how you've used these tools in past projects, especially in shipping LLM-powered applications. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled ambiguous business problems in the past. Think of concrete examples where you turned a vague challenge into a successful AI solution. This will demonstrate your ability to think critically and deliver results.
✨Communicate Like a Pro
Since you'll be working closely with investment professionals, practice explaining complex technical concepts in simple terms. Being able to bridge the gap between tech and business is key, so consider role-playing with a friend to refine your communication skills.
✨Familiarise Yourself with Compliance
Understand the regulatory requirements like FCA and DORA that are relevant to the role. Be prepared to discuss how you would ensure compliance in your AI solutions. Showing that you’re aware of these aspects will set you apart from other candidates.
