Top Tech Jobs & Startup Jobs

Design, evaluate, and deploy production AI agents combining LLMs, retrieval, memory, and tool use. Build retrieval/memory pipelines, multi-agent systems, evaluation frameworks, and production engineering for reliable, safe enterprise AI deployments while partnering directly with customers.

Design and implement end-to-end features across front-end, back-end, and infrastructure for Scale's Generative AI Data Engine. Build scalable systems using TypeScript, MongoDB, Elasticsearch, and Temporal that handle millions of tasks weekly. Own high-impact revenue-critical systems, collaborate with model and cross-functional teams, and help shape engineering culture and best practices on a hybrid team in San Francisco or New York City.

Embed with U.S. government customers to design, build, deploy, and maintain mission software from prototype to production. Own end-to-end delivery, build backend systems and data integrations, collaborate with product and engineering to scale reusable capabilities, and serve as the technical point of contact to drive adoption and mission impact.

The Enterprise Account Executive will drive revenue growth in strategic enterprise accounts, manage relationships, and coordinate internal teams for successful sales processes.

As a Full-Stack Software Engineer, you'll lead the technical strategy for AI applications in the public sector, architecting frameworks, guiding development, and mentoring staff.

The Staff Full Stack Software Engineer will lead AI application development for the public sector, architect scalable systems, and mentor staff while collaborating with clients to implement solutions that enhance operations.

As a Senior Full-Stack Software Engineer, you will develop AI applications for public sector clients, design full-stack solutions, and manage cloud infrastructure while collaborating with cross-functional teams to address complex challenges.

Lead development of production AI behavior, governance, and MLOps standards for high-risk public-sector systems. Architect and validate safety-focused AI components, build reusable agent and evaluation capabilities, advise executive clients on AI strategy, resolve severe model-safety incidents, and coach senior engineers while shaping the technical roadmap and recruitment.

Lead an infrastructure engineering team to design, deploy, and operate scalable, secure production environments for AI-driven applications. Define roadmap, maintain SLAs/SLOs, build CI/CD and IaC pipelines, manage on-prem and cloud Kubernetes deployments, improve developer tooling, and drive incident response and monitoring best practices while mentoring engineers.

The Finance Systems & Automations Manager designs and implements integrations and automations across Finance, Accounting, People, and Recruiting, improving operational efficiency through AI-driven workflows.