Top Engineering Jobs

Build and lead an internal infrastructure platform connecting R&D and infrastructure teams. Design APIs, abstractions, self-service workflows, Kubernetes and cloud resource management, and AI agent capabilities. Establish guardrails, observability, evaluation, auditability, and reliability for automation running against production systems. Lead architecture decisions and multi-team initiatives, mentor engineers, gather user feedback, drive adoption, and maintain platform reliability.

Lead end-to-end technical delivery of complex enterprise engagements using integrations, custom applications, and agentic AI. Design architectures, scope and estimate work, migrate data, build production systems, and ensure AI reliability through evaluation, guardrails, and monitoring. Partner directly with senior customers, define outcome metrics, mentor engineers, contribute to shared tooling, and influence product roadmaps. The role is hybrid in London and requires travel up to 20%.

Build and deploy full-stack custom solutions for strategic customers using monday.com APIs, SDKs, app frameworks, and automation tools. Lead customer discovery, translate business needs into technical designs, develop production applications, manage deployment and DevOps considerations, and support live solutions. Projects typically last 2–6 weeks and require strong communication, independent execution, and customer collaboration.

Leads software architecture and engineering excellence for enterprise-scale infrastructure features. Builds and evolves full-stack, user-facing web products with a backend focus, working across UI, databases, data governance, and account controls. Partners with Product and Design from conception through deployment, contributes hands-on code, and provides technical leadership without people management responsibilities.

Lead a small engineering team building AI-native project management solutions. Own architectural decisions and features end to end, from design and implementation through deployment and monitoring. Collaborate with product and design, integrate LLMs and AI technologies, optimize performance and scalability, and establish engineering best practices for reliable, user-centered products.

Partners with enterprise customers to understand operational challenges, design and deploy scalable workflows, build prototypes and automation, and lead technical onboarding. Owns integrations, SSO, SCIM, security configuration, troubleshooting, documentation, and training. Collaborates with Product, Engineering, and AI teams to convert customer needs into platform capabilities while serving as a trusted technical advisor.

Own engineering for Funnel Fighters, building data pipelines that ingest hourly data from advertising, landing page, product event, and billing sources. Design unified, machine-readable data models with freshness, lineage, auditability, and API access. Develop systems that enable AI agents to analyze marketing funnels, make platform changes, and measure impact. Work independently in a small, founder-led startup environment.

Own AI transformation engagements for 1–2 strategic customers, partnering with executives and technical teams to architect, build, deploy, and measure production AI solutions. Develop agents, integrations, applications, workflows, and custom scripts; define success criteria and drive adoption and ROI. Evaluate real-world deployments, provide evidence-based product feedback, create reusable assets, and advise Sales and Customer Success on account strategy.

Build and shape render.ai, an AI-native product, from user needs through production. Develop end-to-end experiences across the stack using React/Next.js, Node.js, and TypeScript, while managing cloud infrastructure, CI/CD, and production systems. Collaborate closely with product and engineering teammates, exercise strong UX judgment, use AI-assisted development effectively, and create clarity in an early-stage startup environment.

Lead strategic customer deployments of AI solutions from discovery through production. Architect and build AI agents, vibe apps, MCP integrations, workflows, and custom scripts using TypeScript, Node.js, and React. Partner with C-suite stakeholders, Sales, Customer Success, and Product to drive adoption, measurable ROI, and workflow improvements. Instrument deployments, run evaluations, convert insights into product requirements, and create reusable assets and playbooks.