At a Glance
- Tasks: Build and deploy AI systems to enhance investment workflows and research processes.
- Company: Specialist investment firm with a focus on innovative AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on high-value use cases.
- Why this job: Make a real impact in finance by developing cutting-edge AI tools.
- Qualifications: Experience in building LLM applications and familiarity with 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 in London employer: TechByte Talent Ltd
As a leading player in the fintech sector, our company offers an exceptional work environment that fosters innovation and collaboration. We prioritise employee growth through continuous learning opportunities and a supportive culture that values diverse perspectives. Located in a vibrant city, we provide competitive benefits and a dynamic atmosphere where your contributions directly impact our success.
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We think you need these skills to ace AI Engineer in London
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