Staff AI Engineer — Scale Trusted FinTech AI with Stock Options

Plum; Greater London; Hybrid; GBP 120,000 - 190,000; Full time

Benefits offered by this job

Stock options

Private health insurance

Annual training budget

25 days holiday

Flexible remote working

Office in London

Job summary

Plum is seeking a Staff AI Engineer to own the AI Platform and Wealth Advisor teams, shaping the scalability, safety and reliability of AI-driven financial guidance for millions. You’ll lead model orchestration, retrieval, and guardrails, working with product, data science and compliance to unlock growth while maintaining regulatory standards.

The role demands senior technical leadership, hands-on Python and cloud experience, and the ability to translate business goals into robust AI

Qualifications

• Proven track record of leading teams delivering LLM-powered systems in production.
• Experience designing, shipping and operating AI platforms at scale.
• Strong software engineering fundamentals in Python and distributed systems.

Responsibilities

• Architect core components of the AI platform and enable cross-team adoption.
• Lead end-to-end development of LLM-powered experiences for the Wealth Advisor product.
• Build evaluation systems and guardrails to ensure safe, reliable AI.
• Define governance, observability, cost and latency monitoring for AI systems.
• Drive strategic AI roadmap and evaluate new models and tools.
• Mentor engineers and raise the bar on AI engineering craft.

Skills

Technical leadership

LLM systems

Python

Distributed systems

APIs

Cloud infra

RAG pipelines

Prompt engineering

Stakeholder communication

Tools

Python

APIs

AWS

GCP

Kubernetes

Job description

Plum is seeking a Staff AI Engineer to own the AI Platform and Wealth Advisor teams, shaping the scalability, safety and reliability of AI-driven financial guidance for millions. You’ll lead model orchestration, retrieval, and guardrails, working with product, data science and compliance to unlock growth while maintaining regulatory standards.

The role demands senior technical leadership, hands-on Python and cloud experience, and the ability to translate business goals into robust AI