Teams 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.