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.

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 the design and operation of AI Gateway and LLM API layer, maintain security and integration frameworks, and oversee API versioning and developer onboarding.

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.

Assist in developing, testing, and maintaining software applications, collaborate with teams on features, troubleshoot bugs, and document processes.

Design, develop, and deploy AI applications, integrate LLM models, maintain large scale applications, and troubleshoot technical issues.

Lead the Generative AI Platform Core Services and GPU Infrastructure, managing teams and ensuring adherence to architecture, security, scalability, and the development of platform capabilities.

Lead the design, build, and operation of GenAI Platform's GPU infrastructure and LLM/SLM serving systems, while ensuring performative AI inferencing at scale. Responsibilities include project leadership, collaboration with technical experts, and building APIs and UI surfaces to improve productivity.

Responsible for leading the design and development of full-stack software, ensuring code quality, and communicating with teams for feature launches.

As a Forward Deployed Solution Engineer, you will build, deploy, and iterate AI-native solutions in collaboration with customers, enhancing enterprise AI delivery and performance.

The Technical Operations Engineer III role focuses on leading AI solutions, integrating LLM-based technologies, mentoring team members, and ensuring the performance and quality of AI applications.

Lead and build teams of engineers for Charlotte AI, focusing on AI/ML engineering, team wellbeing, recruitment, and collaboration with product managers to deliver user-focused security solutions.