Staff Engineer

• →Own Complex Architecture: Lead the design and development of the core systems powering AI agents, LLM evaluations, high-throughput data pipelines, and robust provider waterfall systems.
• →Drive End-to-End Execution: Transition ambiguous, cross-cutting problems from initial concept to shipped production code, ensuring real-world performance is measured and optimized.
• →Set Technical Standards: Maintain a clean, scalable, and highly performant codebase, making long-term architectural decisions that will guide future team growth.
• →Provide Technical Leverage (~30%): Raise the engineering bar across the organization by authoring clear technical design documents, conducting thorough code reviews, and mentoring mid-level and senior engineers.
• →Collaborate Directly with Leadership: Partner closely with the founders and the Head of Engineering to shape the technical strategy, product roadmap, and overall system scalability.
• →Strive for Continuous Improvement: Engage directly with customer feedback and product usage metrics to design, build, and deploy enhancements within days.

• High-Calibre Tech Pedigree: Proven experience at a top-tier, high-velocity technology company (such as FAANG, Bloomberg, Stripe, Shopify, Revolut, Datadog, or high-growth, venture-backed scale-ups/YC alumni) is strictly required for this role.
• Seniority & Track Record: 6+ years of production-level software engineering experience with a demonstrated capability of operating independently on "zero-to-one" initiatives.

• Modern Web Stack Expertise: Deep experience working with TypeScript and modern web infrastructure. The current stack utilizes Next.js (App Router), Trigger.dev, and Postgres/Drizzle.
• Systems Engineering: Strong systems thinking with hands-on experience designing distributed architectures, robust background job infrastructure, or scalable data pipelines.
• Practical AI/LLM Experience: Solid familiarity with LLM-based systems, prompt engineering, structured outputs, evaluations, and agentic workflows. (While background model training is not required, experience shipping resilient LLM-powered features in production is key).

• Location Alignment: Absolute willingness and ability to work on-site 5 days a week at the Piccadilly, London office (this is a firm, non-negotiable requirement).
• Bias to Action: A strong preference for shipping high-quality, working iterations quickly over prolonged design phases.
• Clear Communication: Exceptional written and verbal communication skills, with the ability to articulate complex technical decisions through structured design documents.

Our client utilizes a rigorous, transparent two-stage evaluation process designed to respect candidates' time while deeply assessing technical capability:

1. Systems Design Interview: A deep-dive session focused on mapping a complex, ambiguous problem statement into a robust, scalable system architecture. This stage evaluates high-level technical decision-making and systems thinking.
2. Take-Home Assessment: A practical, hands-on exercise using an application scaffold. Candidates will be asked to utilize an AI agent to solve a problem and must be prepared to discuss, evaluate, and defend the AI agent's outputs.

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