Top Artificial Intelligence Jobs

Design and build high-load web applications and service-oriented systems to collect, store, process, search, and visualize large volumes of unstructured text. Implement scalable multi-tier SaaS architectures and RESTful microservices, debug and troubleshoot the codebase, and deploy and manage cloud applications while providing technical leadership and ownership.

As Head of Growth & Marketing, you will define and execute the go-to-market strategy, drive user acquisition, create content, engage developer communities, and lead product marketing efforts while collaborating with teams and influencing growth initiatives.

As a Senior Full Stack Engineer, you'll develop software solutions for contract management, working across frontend and backend technologies, collaborating with various teams to enhance product features and ensure high-quality code.

Mobasi seeks talented individuals passionate about AI, forensics, or law enforcement to propose their own roles. Creators and problem-solvers are encouraged to apply.

As a Solutions Engineer, you will lead technical pre-sales, engage customers, provide product expertise, and support successful adoption of Statsig's experimentation platform.

Train personalized ML models, create synthetic data pipelines, evaluate model quality, and develop safeguards for AI privacy and misuse.

The Sr. DevOps Engineer will manage cloud infrastructure, ensuring efficient deployment and maintenance with extensive use of AWS and Cassandra.

Partner with customers to design and deliver production-ready AI/ML solutions, drive POC-to-production success, troubleshoot technical issues, inform product roadmap with customer feedback, and communicate outcomes to stakeholders.

The Senior Platform Engineer will design, build, and maintain cloud infrastructure, backend services, and APIs, ensuring reliability and performance.

Full-cycle, outbound-heavy sales role owning prospecting through close. Identify and qualify businesses, run tailored demos using Tasklet agents, visit customers in-person, build pipeline, iterate on playbooks, and deliver revenue while collaborating with founders and product teams.