AI Engineer at Pantheon Ventures Careers

Pantheon has spent over 40 years at the forefront of private markets investing, building a reputation for innovation in secondaries, co-investments, and primary fund investments. We manage approximately $82.3 billion in assets for more than 750 institutional and 638 private wealth clients worldwide. Our culture is defined by collaboration and a shared commitment to solving complex problems, and we are currently looking for talented individuals to help us deliver new investment opportunities through advanced technology.

The role

We are seeking a Senior AI Engineer to join our team on a full-time, on-site basis in the United Kingdom. This is a hands-on position within our AI Product Squad, focused on moving our initiatives from experimentation into sustained, scalable production. You will play a critical role in transforming validated AI opportunities into secure, reliable, and cost-effective products that integrate seamlessly into our existing workflows.

Core responsibilities

• Design and build AI-enabled products, including LLM applications, agents, and workflow automations, while implementing core patterns like retrieval-augmented generation and tool calling.
• Establish robust evaluation strategies and observability frameworks to monitor the quality, reliability, latency, and cost of our AI systems in production.
• Collaborate closely with the AI Product Owner, software engineers, and data specialists to translate requirements into technical work items and ensure all solutions adhere to our governance and security standards.

Skills and experience

To be successful in this role, you should possess a strong background in software engineering and applied AI. We require the following qualifications:

• Proficiency in Python and hands-on experience with machine learning frameworks such as PyTorch or TensorFlow.
• Practical experience building AI-enabled products, specifically with LLM application architecture, RAG, vector databases, and orchestration frameworks.
• Experience deploying and operating services on Microsoft Azure, including the use of Azure AI Foundry.
• A solid understanding of modern deep learning architectures and the ability to manage the trade-offs between model performance, cost, and latency.
• Strong experience working in Agile environments and collaborating with cross-functional teams to deliver production-ready code.
• Excellent communication skills and the ability to translate complex technical concepts for various stakeholders.

Compensation and benefits

We are dedicated to fostering a diverse and inclusive workplace. While we do not list specific salary figures here, we offer a professional environment where your contributions directly impact our global investment strategies. We encourage you to apply even if your background does not perfectly align with every requirement listed, as we value unique perspectives and a commitment to growth.

How to apply

If you are an experienced engineer who thrives on building reliable AI systems and solving complex problems, we would love to hear from you. Please submit your application to be considered for this opportunity to join our team in the United Kingdom.