Top Software Engineer Jobs

As a Distinguished Engineer, you'll lead technical initiatives in cloud banking, mentor teams, and develop advanced technology solutions while promoting engineering excellence.

Lead a team developing advanced applications using AI, ML, and Generative AI, overseeing projects and ensuring high-quality solutions that meet business goals.

The Chief Engineer will set the technical vision for AI and machine learning programs, manage execution, and lead multi-disciplinary teams to deliver innovative solutions.

Lead software development for AI, ML, and decision systems, manage technical teams, and drive innovation for National Security solutions.

In this full stack role, you will build features around data pipelines and LLMs, create web APIs, and work on analytics tools ensuring data quality and processing capabilities.

The Fullstack AI Engineer will handle end-to-end ownership of product features, adapt AI models, and collaborate with teams to improve healthcare solutions.

Develop and maintain AI-enabled applications, integrate AI tools, collaborate for technical solutions, and promote best practices in software development.

As a Software Engineer, you will develop and deploy software systems, participate in code reviews, and collaborate with cross-functional teams to create and improve financial AI solutions.

The Staff Software Engineer will build AI-powered servicing tools, lead technical initiatives, mentor junior engineers, and ensure project delivery aligns with health industry needs.

As a Data Engineer at Sprinter Health, you will work on AI initiatives, leveraging your full-stack or backend experience in a startup environment to innovate and enhance healthcare access.

Design and implement AI workflows for Clear Street's trading platform. Collaborate with teams, create reusable libraries, and ensure model quality.

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

The role involves leading AI/ML solution development, collaborating with teams, mentoring junior engineers, and ensuring project alignment with business goals.

The role involves providing AI leadership, influencing technical direction, driving innovation, mentoring engineers, and collaborating across teams to adopt AI in software development.

As a Senior Staff Engineer, you will design, build, and ship AI-powered retirement features, collaborating closely with product and design teams.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

The Engineering Lead will guide a team in developing Generative AI-powered applications while ensuring Agile processes and software excellence. Responsibilities include architecture design, team mentorship, and collaboration with cross-functional teams.

Lead a team to develop generative AI solutions, collaborating with cross-functional teams and driving innovation from ideation to deployment.

Manage AI platforms, focusing on zero and low-code solutions. Collaborate with vendors and engineering teams to enhance AI capabilities and cross-functional integrations.

The role involves architecting and maintaining marketing databases, implementing data infrastructure for AI/ML, managing data pipelines, and collaborating with stakeholders to develop data-driven solutions.

As a Senior Software Engineer on the AI Platform team, you will design and scale systems for WHOOP's Generative AI capabilities, focusing on robust backend services and tools, collaborating across teams, and mentoring junior engineers.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

Manage a team to train state-of-the-art AI models, work with clients on solutions, and improve products with data-driven insights.

Engineer on the AI Growth team, building user experiences for scientific AI. Responsibilities include product development, customer engagement, experimentation, and optimizing growth strategies.

As a Software Engineer on the AI Tools team, you'll improve productivity by integrating AI tools into workflows, developing software, and collaborating across teams.