At a Glance
- Tasks: Build and deploy AI systems that enhance investment research and workflows.
- Company: Specialist investment firm with a focus on innovation and collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with ownership from prototype to production.
- Why this job: Make a real impact in finance by developing cutting-edge AI tools.
- Qualifications: Experience in building LLM applications and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
A specialist investment firm is looking for a hands-on AI Engineer to build and deploy production-grade AI systems that directly support their research and investment workflows.
About the role
You will work closely with portfolio managers and analysts to design, build and deploy reliable AI-driven tools that raise the quality, speed and consistency of their investment processes. Ownership from early prototype through to production deployment, monitoring and ongoing iteration.
What you'll do
- Equity research tooling
- Analyse, summarise and extract structured data from filings, transcripts, external research and internal notes
- Automate screening, idea generation and other repetitive research tasks
- Build internal APIs and lightweight UIs that make these tools genuinely usable for the investment team
- System ownership
- Take full-stack system ownership from prototype to production
- Integrate LLMs and other models with proprietary research data, third-party market data feeds and existing analyst workflows
- Design and implement RAG systems across internal research, filings and datasets
- Governance & collaboration
- Implement practical model risk controls and maintain robust, auditable systems
- Partner with investment professionals to surface and prioritise high-value use cases
What we're looking for
- Proven track record building, deploying and maintaining end-to-end LLM applications including prompt engineering, API integration and agentic orchestration frameworks
- Hands-on experience with at least one major cloud platform (AWS, GCP or Azure)
- AI & LLM expertise
- Experience with LLM APIs such as OpenAI or Anthropic
- Solid understanding of retrieval-augmented generation (RAG), embeddings and vector databases
- Knowledge of hallucinations risk and migration strategies
- Experience with SQL and ability to build and maintain data pipelines
Nice to have
- Prior experience applying AI in financial services, investment research or another regulated environment
- Experience with financial data sources – filings, market data, earnings calls, sell-side research and transcripts
AI Engineer employer: TechByte Talent Ltd
Join a leading specialist investment firm in the heart of London, where innovation meets finance. As an AI Engineer, you'll thrive in a collaborative work culture that values creativity and technical expertise, with ample opportunities for professional growth and development. Enjoy the unique advantage of working closely with portfolio managers and analysts, directly impacting investment processes while benefiting from a hybrid work model that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the investment and AI sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to finance. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and finance-related questions. We recommend practising with a friend or even in front of the mirror to build confidence.
✨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 take that extra step!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLM applications, cloud platforms, and any relevant financial services background. We want to see how your skills match what we're looking for!
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 previous work aligns with our investment workflows. Let us know why you’re the perfect fit for our team.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. We love seeing real examples of your hands-on experience with AI systems, especially those that demonstrate your ability to integrate models and data.
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 shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at TechByte Talent Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM applications, prompt engineering, and API integration. Be ready to discuss specific projects you've worked on, especially those that relate to financial services or investment research.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in building and deploying AI systems. Think about times when you had to integrate different data sources or implement model risk controls, and be ready to share these stories.
✨Understand the Business Context
Familiarise yourself with the investment firm's goals and how AI can enhance their workflows. Being able to connect your technical skills to their business needs will show that you're not just a techie, but someone who understands the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about their current AI initiatives and how they envision the role of an AI Engineer evolving. This shows your genuine interest in the position and helps you gauge if the company is the right fit for you.
