Staff AI Engineer

CompanySaturn

LocationLondon, England, United Kingdom

Posted At12/4/2025

UK Visa Sponsorship Analytics

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Occupation Type

Mechanical engineers

Occupation Code Skill LevelHigher Skilled

Sponsorship Salary Threshold

£46,800 (£24.00 per hour)

Occupation rate applies

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Description

Why Saturn?

Saturn is revolutionizing financial services with AI, building the operating system for financial advisors. Our mission is to democratize financial advice for one billion people by providing the world's most trusted, intelligent platform for financial planning and compliance.

This is a rare chance to build a category-defining company in a high-stakes, regulated environment. We operate with a Dual Mandate: relentless Speed of Execution to deliver reliable, robust products today, and dedicated Speed of Learning to explore the frontier of AI and unlock the next generation of features.

If you are driven by the pursuit of greatness, thrive on end-to-end ownership, and want to build the gold standard for AI trust and reliability, we invite you to build with us.

Role Overview

As a Staff AI Engineer, you are the core architectural leader responsible for scaling Saturn’s AI platform to support multi-person contribution, reliability, and regulatory compliance.

This role moves beyond ownership of a single feature. You will define the strategic, long-term technical direction for our core systems—the orchestration, evaluation, and data governance layers—that enable dozens of different AI features to be built concurrently without degrading overall quality. You will tackle the hardest, most ambiguous technical challenges, acting as a technical force multiplier across the entire engineering organization, driven by a deep care for the systems' robustness and the customer's experience.

What You'll Do

Define and Scale the Agentic Platform Architecture:

Strategic System Ownership: Own the architecture and scaling roadmap (12-18 months) for our core AI infrastructure, ensuring it supports rapid development while maintaining quality, performance, and compliance standards.

Multi-Contributor Scaling: Architect systems for dynamic, context-aware capability composition, component isolation, and prompt versioning to ensure multiple engineering teams can extend the agent platform simultaneously without conflicts ("prompt contamination" or context rot).

Reliability Backbone: Design and implement fault-tolerant infrastructure, including model-agnostic routing, advanced fallbacks, and performance optimization for mission-critical paths.

Drive Organizational Quality:

Evaluation Framework Ownership: Own the architecture of the comprehensive evaluation framework, ensuring the infrastructure supports both systematic offline testing and continuous online evaluation (A/B testing, canary rollouts) and that evaluations serve as non-negotiable CI/CD gates.

Provide Technical Leverage and Leadership:

Unblock Ambiguity: Take on highly unstructured, cross-team technical problems, defining the path forward through deep analysis and rapid prototyping.

Mentorship and Influence: Act as a technical mentor and leader for Senior and other Staff Engineers, raising the bar for architectural quality, code maintainability, and defensive engineering practices.

Decisive Action: Lead significant architectural reviews and decisions, driving consensus on complex trade-offs (latency vs. cost vs. quality) with clarity and speed.

Saturn Values In Practice

Earn Trust: Building verifiably correct, explainable systems (Citation-First, Adviser-in-the-Loop).
Pursue Greatness: Driving our Evaluation-Driven Development flywheel to compound quality daily.
Seek Truth: Relying on data, traces, and customer feedback (Guardians) to inform every decision.
Be Audacious: Taking decisive ownership and building intelligent agents that solve previously unsolvable problems in finance.
Will to Care: Obsessively anticipating customer needs and building systems with extreme attention to detail, ensuring long-term quality, reliability, and the success of our users and peers.

What You Have

8+ years of progressive experience in ML/software engineering, with at least 3 years focused on architecting, deploying, and operating scaled production systems powered by AI or Machine Learning.

Platform-Level Scaling Experience: Proven track record of designing and scaling robust agentic or multi-component LLM systems (e.g., managing complex RAG systems, model composition, and explicit orchestration frameworks) for concurrent development across multiple teams.

Deep Systems Thinking: Expertise in distributed systems, high-volume backend architecture (Python mastery required), and designing systems for auditability and compliance in regulated environments.

Evaluation & Quality Discipline: Extensive experience designing, implementing, and enforcing evaluation strategies at an organizational level, turning real-world failures into systematic regression tests.

Architectural Leadership: A history of successfully leading and delivering complex, multi-quarter technical roadmaps; highly effective at communicating complex technical concepts to both engineering peers and business stakeholders.

Bias for Simplicity: A clear philosophy of choosing straightforward, maintainable solutions over clever but fragile complexity, especially when dealing with probabilistic systems.