Forward Deployed AI Engineer

Tempest Vane Partners; Greater London; On-site; GBP 85,000 - 120,000; Full time

Job summary

Tempest Vane Partners, a London-based hedge fund, is seeking an AI Engineer to join the front-office technology team. You will work at the intersection of AI, software engineering and investment management to deliver practical AI solutions.

Collaborating with investment professionals, you will identify high-value AI use cases, prototype rapidly and deploy production-ready applications that integrate data sources and APIs across the firm's systems.

Qualifications

• Strong software engineering skills with Python.
• Experience building apps and integrating data sources and APIs.
• Practical exposure to AI/LLMs and production deployments.
• Ability to translate business needs into technical solutions.
• Able to work autonomously in a fast-paced environment.

Responsibilities

• Identify and implement high-value AI use cases with investment teams.
• Build and deploy AI-powered applications and automated workflows.
• Integrate data sources, APIs and internal systems.
• Prototype, test and refine solutions based on user feedback.
• Ensure applications are reliable, scalable and secure.
• Evaluate emerging AI technologies to improve productivity.

Skills

Python

APIs

AI/LLMs

Stakeholder comms

Problem solving

Autonomy

Tools

Containers

Cloud platforms

Production deployment

Job description

London | Hedge Fund | AI & Front-Office Technology

The Opportunity

Tempest Vane Partners is partnering with a leading global hedge fund to hire an AI Engineer to work at the intersection of AI, software engineering and investment management.

You will work directly with investment professionals and technical teams to identify opportunities for AI adoption, develop innovative solutions and automate workflows that deliver tangible business value.

This is a hands-on role suited to an engineer who enjoys solving complex problems, working closely with end users and taking ideas from concept through to production.

Key Responsibilities

• Work with investment teams to identify and implement high-value AI use cases.
• Build and deploy AI-powered applications, tools and automated workflows.
• Integrate data sources, APIs and internal systems to support AI solutions.
• Rapidly prototype, test and refine solutions based on user feedback.
• Ensure applications are reliable, scalable, secure and production-ready.
• Evaluate emerging AI technologies and identify opportunities to improve productivity.

Requirements

• Strong software engineering skills, ideally with Python.
• Experience building applications and integrating APIs and data sources.
• Practical exposure to AI/LLMs and deploying solutions into production.
• Strong problem-solving skills and a delivery-focused mindset.
• Ability to work directly with stakeholders and translate business needs into technical solutions.
• Comfortable working autonomously in a fast-paced environment.

Beneficial Experience

• LLMs, AI agents, RAG and AI orchestration frameworks.
• Cloud infrastructure, containers and production deployment.
• Financial markets, investment management or other data-intensive environments.
• Forward-deployed engineering or solutions engineering.

Why Join?

• Work directly with investment professionals and senior stakeholders.
• Build practical AI solutions with measurable business impact.
• Take ownership from initial idea through to production.
• Join a technology-led environment focused on innovation and continuous improvement.