AI Engineer for Investment Research Tools

TechByte Talent Ltd; Greater London; On-site; GBP 70,000 - 120,000; Full time

Job summary

TechByte Talent Ltd. is seeking a hands-on AI Engineer to design, build and deploy production-grade AI systems that support investment workflows in central London.

You will own end-to-end AI tooling for equity research, including data extraction, screening automation, internal APIs, and lightweight UIs for the investment team. Expect close collaboration with portfolio managers and analysts and a focus on robust, auditable systems.

Qualifications

• Proven track record building, deploying and maintaining end-to-end LLM applications.
• Hands-on experience with at least one major cloud platform (AWS, GCP or Azure).
• Knowledge of retrieval-augmented generation (RAG), embeddings and vector databases.
• Experience with SQL and building data pipelines.

Responsibilities

• 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.
• Take full-stack system ownership—from prototype to production, monitoring and iteration.
• Integrate LLMs with proprietary research data, third-party market data feeds and existing analyst workflows.
• Design and implement RAG systems across internal research, filings and datasets.
• Implement practical model risk controls and maintain auditable systems.
• Partner with investment professionals to surface and prioritise high-value use cases.

Skills

LLM applications

Prompt engineering

API integration

Agent orchestration

RAG embeddings

Vector databases

SQL data pipelines

Cloud platforms (AWS GCP Azure)

OpenAI API

Anthropic API

Tools

OpenAI API

Anthropic API

Job description

TechByte Talent Ltd. is seeking a hands-on AI Engineer to design, build and deploy production-grade AI systems that support investment workflows in central London.

You will own end-to-end AI tooling for equity research, including data extraction, screening automation, internal APIs, and lightweight UIs for the investment team. Expect close collaboration with portfolio managers and analysts and a focus on robust, auditable systems.