AI Engineer

TechByte Talent Ltd; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

TechByte Talent Ltd in London is seeking a hands-on AI Engineer to build production-grade AI systems supporting investment workflows. You'll own projects from prototype to production, integrating LLMs with proprietary research data and market feeds, and delivering reliable tools for analysts.

The role requires in-office work in central London five days a week; sponsorship is not provided, and familiarity with retrieval-augmented generation and data pipelines is essential.

Qualifications

• End-to-end LLM dev with prompt engineering and API integration.
• Hands-on AWS, GCP or Azure experience.
• Experience with LLM APIs (OpenAI/Anthropic) and data pipelines.

Responsibilities

• Build and deploy AI-driven tools for equity research.
• Own projects from prototype to production and monitor.
• Design and implement RAG systems across datasets.
• Create internal APIs and lightweight UIs for analysts.

Skills

LLM apps

Cloud platforms

LLM APIs

Data pipelines

Tools

OpenAI API

Anthropic API

RAG tooling

Job description

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 with financial data sources- filings, market data, earnings calls, sell-side research and transcripts

This role would require you to be in the central London office 5 day per week.

Please note that we are unable to provide any sponsorship for this position.