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Our client is building an AI workspace for document-heavy industries. The platform automates complex workflows, extracts high-value insights from unstructured documents, and enables enterprise teams to make faster, better decisions at scale. You'll provide technical leadership across core product systems and shape the long-term architecture of a rapidly scaling AI platform. What You’ll Do Own and evolve core backend and AI systems used by enterprise customers Architect scalable, production-grade solutions for: Large-scale document extraction and interpretation AI-driven workflow automation Multi-step, agentic generation pipelines Lead technical design across critical product areas, balancing speed, quality, and long-term maintainability Work closely with product and commercial teams to translate real customer problems into robust technical solutions Set engineering standards and mentor senior engineers through architecture reviews and technical guidance Leverage AI-assisted development tools (e.g. Claude Code, Cursor, Copilot) to accelerate delivery Drive continuous improvement in system reliability, performance, and security What We’re Looking For Proven experience operating at Staff or Principal level in high-growth or technically demanding environments Deep expertise in Python and backend system design Strong track record of owning business-critical systems from concept through production and scale Experience building and maintaining high-quality APIs and integrations Practical experience applying AI/LLM-based systems in real production environments Excellent architectural judgment and the ability to make high-impact technical decisions Clear, confident communicator who can influence across engineering, product, and leadership Strong product intuition and commercial awareness Nice to Have Experience with agentic workflows, orchestration, or complex AI pipelines Past experience in real estate, law, or finance Experience designing modular or distributed systems Open-source contributions or visible technical leadership If you're looking to build s omething extraordinary, then apply today.

Our startup client is looking for a Founding Engineer. You’ll join at the earliest stage to help shape and build AI-powered products from the ground up. This is a hands-on role for someone who thrives in fast-moving environments, loves experimenting with new tools, and can turn ideas into working prototypes quickly. Requirements: Computer Science degree with extensive side projects and several years of hands-on experience building with AI tools. Proven track record of building and shipping AI-powered applications at speed, with a bias toward rapid iteration over perfectionism. Full-stack development skills across modern frameworks — Next.js, TypeScript, Python, PostgreSQL, and cloud infrastructure. Direct experience with LLM APIs (OpenAI, Anthropic, or open-source models) and structured data API integration. A Founding Engineer mentality — comfortable owning the entire development lifecycle from idea to live product. Previous experience at AI-native startups and comfort working in experimental, fast-paced environments. Ability to demo weekly progress, gather feedback, and iterate rapidly on working prototypes. Naturally AI-first in approach — automating every workflow where possible. Thrives in environments where ideas move from concept to product in days, not months, measuring progress through working software rather than lengthy plans. Preferred: Experience working directly with business stakeholders to translate complex workflows into automated solutions. Background in fintech, investment, or private markets (a plus, but not essential). If you’re excited about building innovative AI products in a high-impact environment, apply today.

Our client is an early-stage London-based startup building an AI-native platform for finance operations, starting with accounts receivable and revenue collection. The product replaces manual, spreadsheet-driven workflows with intelligent systems that understand contracts, usage, and payments—and automate revenue end to end. This is foundational infrastructure at the intersection of AI, billing, contracts, and financial data, designed for modern, usage-based businesses. You’ll join at the earliest stage as a Founding Engineer, with ownership over architecture, AI systems, and platform direction. What you’ll do: Own the architecture of the core AI-driven platform, from data ingestion to invoicing, collections, and reconciliation Build AI systems that interpret contracts, usage data, and operational signals, turning unstructured inputs into reliable financial outputs Take AI systems from prototype to production, including model serving, evaluation, monitoring, and failure handling in business-critical workflows Design backend and infrastructure foundations with a focus on correctness, auditability, scalability, and observability Act as a Staff-level technical leader, setting engineering standards, making long-term architectural decisions, and shaping the product roadmap alongside the founders Ship directly to customers, iterating quickly based on real usage and feedback What we’re looking for: experience building production-grade backend, platform, or AI systems Strong systems thinking across data models, workflows, APIs, and distributed systems Hands-on experience deploying and operating LLMs or applied ML systems in real products Proven ownership of complex technical decisions in ambiguous, early-stage environments Interest in financial systems, billing, or revenue infrastructure (nice to have, not required) Ability to work in person in London four days per week If you’re passionate about building AI-native infrastructure at the core of real businesses then, apply today.