Jobs at Raydar

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.

Lead the architecture and development of a core backend data platform for a high-growth consumer mobile application. Integrate third-party data providers, build blockchain indexing and real-time streaming infrastructure, and design scalable caching and database systems. Own backend platforms from initial design through production, make architectural decisions, and collaborate with product and company leadership. The role requires crypto experience, expertise in Rust or Go, scalable WebSocket operations, cloud and PostgreSQL experience, and backend platform ownership.

Own application-level code and infrastructure for long-running cloud environments. Build services that provision, monitor, secure, and scale virtual machines and containers; develop asynchronous messaging and job-processing systems; establish infrastructure-as-code conventions; and troubleshoot production operating system, networking, storage, and access-control issues.

Manage Canadian immigration matters across economic, provincial nominee, family, work permit, and inadmissibility files. Counsel clients throughout applications, represent them when needed, and use AI tools to improve legal workflows and client service. The role offers potential progression into leadership or managing attorney responsibilities and requires Canadian legal licensure, immigration law experience, Canadian work authorization, and availability during Eastern Time hours.

Build and ship full-stack conversational AI features, integrating speech recognition, text-to-speech, and large language models into reliable production systems. Improve latency, reliability, cost, developer experience, and platform foundations at enterprise scale. Collaborate with product and machine learning teams, own initiatives end to end, incorporate production feedback, and support customer-facing engineering work.

Own and improve CI/CD, developer tooling, agent harnesses, Kubernetes infrastructure, observability, cost management, and incident-response practices. Build platform capabilities that reduce engineering toil and improve delivery speed for conversational AI products. Participate in an on-call rotation for core infrastructure and help shape reliable, scalable systems across a fully remote engineering organization.

Researches and builds agentic AI capabilities for marketing workflows, combining experimental development with production delivery. Evaluates models and orchestration frameworks, develops knowledge graphs for recommendations and personalization, integrates marketing data platforms, and creates LLM evaluations, observability, and performance diagnostics. The role also identifies emerging AI capabilities and requires expertise in applied machine learning, NLP, agent frameworks, retrieval-augmented generation, embeddings, and marketing analytics.

Lead the mobile platform from beta to production by building iOS and Android capabilities with React Native and Expo. Own architecture, performance, API integrations, releases, provisioning, store submissions, and reusable design systems. Collaborate with leadership, designers, and customers; prepare the platform for future AI capabilities; and mentor engineers while helping establish the mobile team.

Own and evolve the company’s visual identity across web, campaigns, social, sales collateral, events, and merchandise. Translate complex voice AI concepts into clear diagrams, illustrations, and marketing graphics. Build scalable brand systems, templates, and standards while partnering with product, marketing, and executive teams. Execute hands-on across digital, print, and experiential media with limited direction and high craft.

Own the company’s AI-powered quality and release infrastructure as its first dedicated hire. Build agent-run test harnesses, LLM graders, regression coverage, release gates, fresh-install and upgrade verification, and natural-language UAT. Manage CI health, artifact publication, deployment pipelines, credentials, certificates, and staging environments. Write production Python code, convert escaped bugs into regression tests, and provide trusted release-readiness evidence through dashboards, runbooks, retrospectives, and operating policies.

Conduct original research on reliable agentic AI, developing methods for simulation, evaluation, optimization, regression control, and continuous learning. Analyze agent failures, traces, and human feedback; create experiments and prototypes; and translate research into production-facing systems. Collaborate with product and engineering teams, contribute to technical strategy, and provide rigorous experimental evidence. The role requires strong research depth, publication or open-source contributions, hands-on Python development, and expertise in LLM agents or agentic systems.