At a Glance
- Tasks: Join a high-performing team to build AI systems for investment opportunities.
- Company: Global alternative investment firm with a focus on innovation.
- Benefits: Competitive daily rate, flexible work environment, and professional growth.
- Other info: Dynamic role with exposure to senior stakeholders and complex data environments.
- Why this job: Make a real impact in finance by developing cutting-edge AI tools.
- Qualifications: 8+ years in engineering with strong backend or full-stack skills.
The predicted salary is between 192000 - 192000 £ per year.
Location: London with 4 days onsite
Contract: 12-month contract
Rate: £800 per day - Outside IR35
Our client is hiring a Senior AI Engineer to join a high-performing engineering team within a global alternative investment environment. This is a newly created role where you will help define the AI engineering approach and build production systems that support the identification, assessment, and progression of investment opportunities through internal workflows.
You will work closely with senior investment professionals to translate real business processes into reliable AI powered tools that are suitable for day-to-day use in a high-stakes environment. The focus is on production quality, reliability, traceability, and strong operational control rather than experimentation or prototypes.
What you will build:
- Production retrieval augmented generation systems across investment documents, third-party materials, and market data sources
- LLM based agent workflows with grounding, auditability, and tightly controlled response behaviour
- Hybrid search systems combining semantic and keyword-based retrieval across structured and unstructured data
- Document intelligence pipelines for complex materials including reports, tables, and regulatory content
- Multi step workflow orchestration using graph based execution and tool calling approaches
- Integrations with internal platforms and data systems using APIs and event driven design
- Full-stack internal tools including backend services, data pipelines, and user-facing applications for investment teams
Technology environment:
- Python, Java or .NET with SQL Azure preferred cloud environment
- Microservices architecture with Docker and CI CD pipelines
- Kafka and event driven systems
- Vector databases such as Pinecone or pgvector
- LLM orchestration frameworks such as LangChain or LangGraph
- Embeddings, retrieval systems, and evaluation methodologies
- Fine tuning approaches such as LoRA and QLoRA where applicable
Nice to have:
- Kubernetes in production environments
- Integration experience with enterprise platforms such as Salesforce or DealCloud
- Experience with regulated enterprise workflow systems
About you:
- 8 plus years of hands-on engineering experience with strong backend or full-stack capability
- Proven delivery of production AI or LLM based systems beyond proof-of-concept work
- Strong understanding of retrieval augmented generation and evaluation approaches
- Experience building systems in complex data rich environments
- Background in financial services or other regulated industries is valuable
- Exposure to investment workflows such as deal evaluation or investment decision processes is helpful
- Comfortable working directly with senior stakeholders and translating business needs into technical solutions
Domain exposure that would be beneficial:
- Capital markets, private equity, hedge funds, or investment banking environments
- Internal workflow systems supporting deal pipelines, approvals, or investment decision-making
- CRM and enterprise system integrations
- Strong governance, auditability, and controlled data access requirements
AI Engineer (Financial Services) employer: Aspire Technology
Join a leading global alternative investment firm in London as an AI Engineer, where you will be part of a high-performing team dedicated to innovation and excellence. With a strong focus on employee growth, the company offers a collaborative work culture that encourages professional development and the opportunity to work on impactful projects that shape the future of financial services. Enjoy competitive compensation and the unique advantage of working in one of the world's financial hubs, surrounded by industry leaders and cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Financial Services)
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the financial services sector. We all know that sometimes it’s not just what you know, but who you know that can land you that AI Engineer role.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your work with AI systems, especially those relevant to financial services. We recommend using platforms like GitHub to share your code and demonstrate your expertise in production-quality systems.
✨Ace the Interview
Prepare for technical interviews by brushing up on your Python, Java, or .NET skills. Be ready to discuss how you’ve built reliable AI tools in the past. We suggest practising common interview questions and even doing mock interviews with friends to boost your confidence.
✨Apply Through Our Website
When you find a job that fits, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team and help shape the future of AI in financial services.
We think you need these skills to ace AI Engineer (Financial Services)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with production systems, especially in financial services, and showcase any relevant projects that demonstrate your skills in building reliable AI tools.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've translated business needs into technical solutions and mention any experience you have with investment workflows or regulated environments.
Showcase Your Technical Skills:We want to see your technical prowess! Be sure to list your experience with Python, Java, or .NET, and any familiarity with microservices architecture, Docker, or event-driven systems. This will help us understand your fit for our tech stack.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Aspire Technology
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Java, and SQL Azure. Brush up on your knowledge of microservices architecture and Docker, as these are crucial for the role.
✨Understand the Business Context
Familiarise yourself with financial services and investment workflows. Being able to discuss how AI can enhance deal evaluation or investment decision processes will show that you can translate technical solutions into real business value.
✨Prepare for Technical Questions
Expect to dive deep into your experience with production AI systems and retrieval augmented generation. Be ready to discuss specific projects where you’ve implemented these technologies and the impact they had.
✨Showcase Your Collaboration Skills
Since you’ll be working closely with senior investment professionals, highlight your experience in collaborating with stakeholders. Share examples of how you’ve successfully translated business needs into technical solutions in past roles.
