AI Platform Engineer

Tempest Vane Partners; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Competitive compensation

Discretionary bonus

Benefits package

Job summary

Tempest Vane Partners, advising a global investment firm in London, is hiring an AI Platform Engineer to define, build and scale the infrastructure enabling secure, efficient AI usage across the business.

You will own architecture, engineering and deployment, collaborating with software, platform and AI specialists. Expect exposure to large-scale distributed systems, cloud-native platforms and MLOps practices.

Qualifications

• 5+ years of commercial software engineering experience.
• Excellent Python development skills and production-grade services.
• Experience with LLMs and AI frameworks; knowledge of MLOps.

Responsibilities

• Design, build, and operate scalable Python services powering AI-enabled applications.
• Deploy, fine-tune and manage LLMs across production environments.
• Build cloud-native infrastructure using Kubernetes and modern platform engineering principles.
• Develop tooling for model orchestration, observability, evaluation and governance.
• Collaborate with engineering and business stakeholders to deliver practical AI solutions.

Skills

Python development

Software fundamentals

Distributed systems

Communication

Tools

LangChain

LangGraph

DSPy

LlamaIndex

OpenAI

Anthropic

Kubernetes

CI/CD

Containerization

Cloud-native

Job description

Our client is one of the world's leading investment firms, managing tens of billions of dollars across global markets. Technology sits at the heart of the organisation, powering everything from investment decision making to operational excellence.

As part of a significant investment into Artificial Intelligence, they are building a next-generation AI platform that will underpin the firm's adoption of Generative AI and autonomous systems. They are seeking an AI Platform Engineer to help define, build and scale the infrastructure that enables AI to be consumed securely and efficiently across the business.

This is a rare opportunity to join a highly technical, engineering-led environment where you'll work alongside some of the industry's brightest minds on genuinely cutting-edge problems.

What You'll Get

• Work with frontier and open-source models, including the latest LLM technologies.
• Build enterprise AI capabilities from the ground up in a greenfield environment.
• Design and deliver platforms that will be leveraged by hundreds of engineers and business users globally.
• Significant ownership across architecture, engineering and deployment.
• Collaborate with a world-class team of Software Engineers, Platform Engineers and AI specialists.
• Exposure to large-scale distributed systems, cloud technologies and modern MLOps practices.
• Competitive compensation, discretionary bonus and an exceptional benefits package.
• A culture that encourages innovation, experimentation and continuous learning.

What You'll Do

• Design, build and operate scalable Python services and APIs that power AI-enabled applications.
• Deploy, fine-tune and manage commercial and open-source LLMs across production environments.
• Build cloud-native infrastructure leveraging Kubernetes and modern platform engineering principles.
• Develop tooling to support model orchestration, observability, evaluation and governance.
• Partner closely with engineering and business stakeholders to deliver practical AI solutions with measurable impact.
• Contribute to the firm's broader AI strategy, engineering standards and best practices.
• Help shape the evolution of an enterprise AI platform supporting current and future use cases, including AI agents and autonomous workflows.

What You'll Need

• Strong software engineering fundamentals with 5+ years of commercial experience.
• Excellent Python development skills and experience building production-grade services and APIs.
• Experience working with Large Language Models and modern AI frameworks (e.g. LangChain, LangGraph, DSPy, LlamaIndex, OpenAI, Anthropic or similar).
• Exposure to MLOps, model serving or AI infrastructure.
• Experience with Kubernetes and cloud-native technologies.
• Familiarity with containerisation and CI/CD pipelines.
• Experience working with distributed systems and high-availability environments.
• Excellent communication skills and the ability to engage with both technical and non-technical stakeholders.

Nice to Have

• Experience with vector databases, RAG architectures and agentic AI systems.
• Exposure to data engineering technologies (Kafka, Airflow, Spark, etc.).
• Experience within financial services, fintech or other regulated environments.
• Knowledge of GPU infrastructure, model optimisation or inference platforms.
• Contributions to open-source projects or a demonstrable passion for AI outside of work.

Interested?

We're particularly interested in speaking with engineers who have built AI platforms rather than simply consumed APIs. If you've deployed LLMs into production, built tooling around them and enjoy solving difficult engineering problems at scale, this could be an exceptional opportunity.