Senior Staff Engineer - Agent Platform

Overview

Job Description

Responsibilities

• - Ship flagship agentic capabilities: Deliver high-impact agentic workflows end-to-end, from discovery through production roll-out, with clear success metrics and fast iteration loops.
• - Build and operate production-grade agent systems: Design reliable agentic systems that behave predictably under real-world constraints, including latency, cost, data quality, and failure modes, with strong patterns for state management, idempotency, and safe recovery.
• - Create shared foundations for agent delivery: Develop the core primitives that enable teams to build agents consistently (runtime patterns, tool interfaces, context management, shared libraries) while avoiding one-off implementations.
• - Establish a pragmatic Agent Development Life Cycle (ADLC): Implement evaluations, guardrails, tracing, monitoring, and release processes so agents can be measured, debugged, and improved continuously.
• - Integrate ML and LLM components into production workflows: Work with ML/Data teams to productionise models and LLM capabilities with clear contracts, versioning, observability, and safe degradation patterns.
• - Maintain clear domain boundaries as adoption scales: Define shared semantics for agent tools and data access, preventing domain drift while enabling teams to move quickly.
• - Collaborate with Platform on infrastructure and developer tooling: Adopt and extend existing CI/CD, DevEx, and observability systems, contributing back where agentic workloads introduce new requirements.

Required Skills

• - Architectural depth: Proven ability to design and evolve complex, stateful distributed systems spanning APIs, event-driven architectures, data systems, and agentic applications - where domain logic is the primary source of complexity.
• - Proven patterns for high-throughput performance and scaling architecture to support hundreds of thousands of customers, while preventing domain drift.
• - Proven experience building AI agents in production, not just demos, with a clear understanding of current best practices (agent architectures, tool calling, RAG where appropriate, prompt and context engineering).
• - Ability to run AI/agentic systems reliably in production with observability, incident readiness, and cost controls.
• - Deep experience with: AWS serverless architecture (Lambda, API Gateway, Event Bridge, Step Functions) Event-driven systems and asynchronous workflows.
• - Strong coding skills: deep hands-on experience with a variety of coding languages, and comfortable with a tech-agnostic approach. Familiarity with Python is a must-have.
• - Agent quality discipline: hands-on experience with evaluations (offline and online), regression testing, safety guardrails, and monitoring for reliability, cost, and drift.
• - Strong backend and distributed-systems fundamentals: APIs, asynchronous workflows, state management, idempotency, retries, and failure recovery in high-stakes workflows.
• - Product & business alignment: Demonstrated ability to connect technical decisions to business outcomes and customer experience.
• - First-principles problem solving: Ability to reason from fundamentals (constraints, incentives, data and system behaviour) to design solutions in complex, high-stakes domains.

Benefits

• - Competitive salary - our current band for this role is £129,500 or equivalent in local currency. We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level.
• - Stock Options - everyone on the team has ownership in our mission.
• - 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday 🎉.
• - Remote & flexible working - We’re fully remote with clear core hours, and no internal meetings on Friday afternoons.
• - Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps.