Top Artificial Intelligence Software Engineer Jobs

The Data Engineer will design and implement scalable data pipelines, build data infrastructure, ensure data quality, and collaborate with teams for analytics and compliance.

As a Data Engineer, you will build and maintain data systems for drug safety AI tools, ensuring reliable data processing and storage for research teams.

Design and deploy AI solutions, integrating APIs into business processes; prototype and iterate agents for customers, ensuring performance and adoption.

The role involves building AI-driven solutions for recruitment, collaborating closely with sales and customers to expedite problem-solving and ensure swift execution under tight deadlines.

Build and ship AI-powered, end-to-end product features for clinicians and operators. Own projects from requirements through deployment, engage with users to surface needs, measure impact, and shape engineering culture, tooling, and architecture at an early-stage healthcare startup.

The Senior Software Engineer will design and develop AI-driven applications, collaborate with teams, maintain high code standards, and ensure software reliability.

The role involves developing software for optical test automation, managing data pipelines, collaborating across teams, and enhancing testing efficiency for silicon photonics.

Develop data pipelines and AI systems to process data from multiple sources. Focus on simplicity, reliability, and maximizing sales efficiency while shipping features regularly.

Migrate and optimize data workloads, develop ETL/ELT pipelines, build datasets for analytics, and support BI tools while ensuring data quality and collaborating with teams.

As a Full Stack Software Engineer, you'll build user-friendly software for drug discovery, develop frontend and backend components, and optimize model infrastructure while collaborating with scientists and engineers.