Top Software Engineer Jobs

The Lead Software Engineer will develop innovative AI/ML solutions using AWS and Azure, manage system design, and improve software stability. Responsibilities include coding, leading evaluations, and promoting new technologies.

The Lead Software Engineer will develop scalable technology solutions with a focus on AI/ML optimization on AWS. Responsibilities include software development, cloud infrastructure deployment, and collaboration with AI teams to enhance system performance and cost efficiency.

The Senior Software Engineer will build and maintain core services for production-grade agent systems, enhance AI automation across teams, and design scalable backend systems.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

Manage the AI Support Chat engineering team, oversee full-stack planning and delivery, and collaborate with cross-functional teams to enhance member support through an AI chat interface.

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

Design and deploy machine learning models for drug development, collaborate with cross-functional teams, and innovate AI solutions to improve clinical outcomes.

Develop AI-native web applications, leveraging APIs to simplify code generation and improve user experience while collaborating in a fast-paced team.

The role involves designing and building AI-driven web applications for generating software from API designs while collaborating with a fast-paced team.

As a Senior Full Stack Engineer, you will develop AI-powered tools and enhance Postman's API Network, focusing on both frontend and backend improvements.

Architect and develop a new React framework for AI-powered software, focusing on real-time collaboration and user experience.

As a Backend Engineer, you will design and develop core systems for AI applications, focusing on scalable architecture and user experience.

The role involves architecting and optimizing AI applications and workflows, building real-time execution engines, and collaborating with customers for feature development.

Architect and build key components of a frontend framework while optimizing performance and collaborating with customers and design partners to enhance platform capabilities.

As a Senior Software Engineer at Trumid, you will design and maintain scalable trading systems, collaborate with data scientists, and mentor junior engineers.

The Sr Lead Software Engineer will enhance and deliver AI solutions in an agile environment, leading development while ensuring stability and data compliance.

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.

Lead a team of developers to design and implement data solutions using AWS and advanced data technologies while mentoring team members across Agile teams.

The Engineering Lead will design, develop, and deploy AI models and agents, collaborate with teams, and drive AI initiatives.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

The Senior Director will define and implement data strategy while leading technical teams in delivering data insights for actuarial functions and driving innovation for business solutions.

As a Software Engineer II focused on AI Tooling, you'll develop AI systems and tools, build APIs, and integrate models. Collaborate with cross-functional teams to enhance productivity through innovative applications.

Join the ETI team as a Systems Engineer, working on innovative products that enhance internet security and speed for users. Collaborate on shaping product features based on technical possibilities and meet ambitious engineering goals.

Lead engineering initiatives for Starburst's AI platform, managing teams and collaborating across departments to ensure successful AI execution and governance.

Lead the design and implementation of AI-powered search systems, focusing on scalability, relevance, personalization, and collaboration with product and AI teams.