Jobs at Raydar

Design, build, and deploy production AI applications powered by large language models. Develop prompt strategies, agent workflows, tool integrations, scalable architectures, evaluation frameworks, and internal platform infrastructure. Collaborate with enterprise stakeholders to deliver practical AI solutions, while ensuring systems are reliable, observable, secure, cost-effective, and maintainable. Strengthen engineering practices for building, testing, and releasing software.

Own the full enterprise sales cycle, from outbound prospecting and stakeholder discovery through pricing and contract signature. Build AI-enabled product demonstrations, shape the company’s sales strategy and product direction, and partner with founders. As the team expands, recruit, develop, and lead additional sales professionals.

Own the stability and operation of secure, large-scale production infrastructure. Responsibilities include observability, alerting, configuration management, upgrades, incident response, software deployments, workload migrations, troubleshooting, performance tuning, and automation. The role partners with engineering and delivery teams on system design, uses production code and container orchestration, and participates in an on-call rota approximately every five to six weeks.

Build and deploy full-stack software for business clients, including AI-assisted workflows that extract meaning from unstructured documents, spreadsheets, and email. Own deployments from scoping through production, collaborate with founders and technical leaders, incorporate client feedback into reusable product improvements, and improve output accuracy, reliability, and adoption. The role requires strong product judgment, client communication, end-to-end engineering ownership, and on-site work five days per week in London.

Build and ship full-stack software for client teams, owning delivery from specification through production. Responsibilities include leading customer conversations, designing frontend and backend systems, modeling data, integrating AI components, developing AI-assisted workflows for unstructured inputs, and rapidly iterating based on user feedback. The role requires close collaboration with clients and company leadership, product judgment, and on-site work in London five days per week.

Own AI product pilot deployments for major insurance brokers, managing client communication, workflow discovery, requirements translation, stakeholder relationships, adoption, and expansion. Build AI-assisted prototypes and demos, collaborate closely with founders and engineers, and develop a repeatable deployment playbook. The role is onsite five days weekly in London, includes regular UK travel, and requires an intensive work schedule.

Own the roadmap and end-to-end product lifecycle for a B2B location platform spanning APIs, mobile applications, and SDKs. Partner with executives and cross-functional teams to translate enterprise customer feedback into requirements, prioritize initiatives, lead discovery, and deliver location and wayfinding experiences. Champion the product through demos, documentation, videos, and presentations while operating autonomously as an individual contributor.

Chief of Staff partnering with the CEO to solve critical company bottlenecks during rapid growth. Responsibilities include building financial, operational, and go-to-market metrics; improving hiring and headcount planning; establishing scalable operating processes; representing the CEO with investors, clients, and leaders; and supporting enterprise deals and cross-functional execution. The role is based onsite in Farringdon, London, with substantial travel to industrial customer sites across Europe and the United States.

Build and ship full-stack product features across Python, TypeScript, cloud infrastructure, event-driven systems, AI voice-agent workflows, and third-party integrations. Own customer problems from discovery through implementation, guide architecture and engineering standards, and balance rapid MVP delivery with scalable, reliable foundations. The role also involves technical leadership, customer-facing solution scoping, and production development within an early-stage startup.

Own production Python data pipelines, ETL/ELT workflows, and the ontology powering an AI platform. Integrate warehouses and business applications with graph databases and vector stores, while managing deployment tooling, cloud infrastructure, monitoring, and security. The role begins as hands-on individual contribution and develops toward technical leadership through mentoring and architecture ownership.

Lead the strategy and hands-on development of platform-wide design systems, including scalable interaction patterns, UX frameworks, mobile experiences, and AI-driven design-quality tools. Partner with engineers, product managers, and designers to improve design consistency and implementation quality across complex B2B products. Own initiatives from problem identification through prototyping and delivery while maintaining strong visual, interaction, accessibility, and code-adjacent design craft.