Top Software Engineer Jobs

As the second engineer, you will build backend systems for browser automation, collaborate with founders, and design secure authentication processes.

As a Full-Stack Software Engineer, you'll develop features for a voice AI platform, integrating various 3rd party systems and enhancing the user experience.

The Founding Engineer will design and scale distributed backend systems, create robust evaluation infrastructures for RL training, and collaborate with AI researchers.

As a Full Stack Software Engineer, you'll create AI-driven solutions, managing all stages from architecture to deployment, enhancing industry workflows.

The role involves developing AI/ML prototypes, collaborating with customers, database administration, and enhancing machine learning model capabilities, requiring extensive experience and specific technologies.

As a Senior Software Engineer on the AI Platform team, you will develop AI security features, enhance vulnerability detection, integrate AI patterns, and collaborate across functions to deliver solutions.

The Senior Associate will build and extend the data platform and AI applications, focusing on data engineering, cloud infrastructure, and AI development.

Join Knoetic as a Fullstack Product Engineer in a new AI pod. Own features end-to-end, work with customers, and improve engineering practices.

Lead full-stack development and architecture across frontend, backend, and AI systems. Build scalable services, integrate models and data pipelines, collaborate with product/design, mentor engineers, and deliver high-impact features from design through production.

As a Fullstack AI Software Engineer, you will develop full-stack applications, mentor colleagues, and integrate AI technologies while collaborating globally.

Design and build high-performance UI and APIs, manage database architecture, optimize systems for reliability and performance, and collaborate cross-functionally in a scientific context.

As an Applied AI Engineer, you will build AI features, customize models, ensure production quality, and collaborate with teams to enhance legal services using AI.

Design and build fullstack systems for AI agents, collaborating with teams to improve user experience and researching new technologies.

Design, develop, and implement full stack custom software solutions, ensuring product quality through testing and contributing to team success.

The AI Architect will design and implement AI tools, develop secure integration layers, and oversee cloud deployment and governance of AI systems, working collaboratively with internal stakeholders to address technical needs.

As a Software Engineer II (AI), you'll develop and maintain applications for the Life insurance industry, focusing on Generative AI solutions and full stack development using various web technologies and frameworks.

As an Engineering Manager for the VALORANT AI team, you will oversee a team of engineers, guide AI development, manage performance, and advocate for both players and developers.

Lead a team of engineers to develop AI-driven solutions for digital marketing, ensuring high quality and scalability, while mentoring team members.

As a Full Stack Engineer, you'll develop platform capabilities, collaborate with teams to implement solutions, and integrate new technologies while ensuring architecture and security are sound.

Lead the engineering team focused on transforming Autodesk.com into a digital growth platform. Oversee execution and technical leadership, collaborating across functions to drive customer acquisition and trial conversion.

As a Senior Software Engineer - AI, you will design and implement AI systems, enhance workflows, mentor teammates, and drive quality in collaborative settings.

The GIS Software Engineer will develop and maintain GIS applications, focusing on AI/ML integration, UI systems, and troubleshooting, while supporting US Special Operations Command.

The Full Stack Developer at Stewart is responsible for software development, program logic modification, project technical support, complex problem-solving, and process improvement recommendations, while communicating effectively with team members.

Design and build infrastructure for AI agent systems, focusing on high-performance Rust services and reliable ML infrastructure for large-scale production environments.

Lead architecture and evolution of AI-powered systems, ensuring they are reliable and scalable. Oversee delivery of AI-native systems and establish standards for API contracts and evaluation frameworks.