AI Engineer

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

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.