Top Tech Jobs & Startup Jobs

As a software engineer in generative AI, you will design and develop secure applications, optimize APIs, and collaborate with cross-functional teams to enhance AI solutions.

As a software engineer, you'll design secure AI integration platforms, build reliable APIs, lead engineering standards, and collaborate with cross-functional teams to optimize enterprise automation solutions.

As a Software Engineer focused on generative AI, you will design scalable AI services, optimize APIs, and collaborate with cross-functional teams to enhance enterprise-wide transformation.

Design, build, and maintain corporate IT systems and automations for a fast-growing AI company. Own identity and access management (Okta, SSO, SCIM, RBAC), manage core SaaS platforms (Google Workspace, Slack, Microsoft 365), create Python/Terraform automations and integrations, lead IT projects, escalate complex identity/MDM/authentication issues, and build AI-assisted tooling to accelerate IT operations.

As a solutions architect, you'll design generative AI solutions for enterprise clients, drive technical discovery, and guide Fortune 500 companies in their AI strategy.

As a Software Quality Engineer at WRITER, you'll ensure high-quality, reliable AI-powered applications through comprehensive testing, automation frameworks, and collaboration with cross-functional teams, impacting global companies’ AI implementations.

As a Software Quality Engineer, you will define quality assurance strategies, develop automation frameworks, and ensure the reliability of AI applications while collaborating with cross-functional teams.

Design, build, and scale internal IT systems and automations for a fast-growing AI company. Own enterprise SaaS (Okta, Google Workspace, Slack), implement identity and access management (SSO, SCIM, RBAC), create API integrations and IaC with Python and Terraform, build AI-assisted IT tooling, and lead infrastructure projects while partnering with Security for compliance.

Lead and execute research on large language models and agentic systems, running large-scale post-training experiments (SFT, RLHF, RLAIF, DPO, GRPO), building evaluation benchmarks and data synthesis pipelines, translating research into model improvements and production deployments, publishing at top venues, and mentoring researchers and engineers.