Top Software Engineer Jobs

As a Staff Software Engineer AI-Native, you will build and evolve AI-native engineering workflows, design high-quality APIs, and collaborate with international teams to deliver reliable services while mentoring others.

The Fractional CTO will design and architect a SaaS platform, lead AI/LLM technology integration, and ensure product scalability.

Lead the development of AI-assisted engineering practices and tooling, enhance developer experience, and implement security measures across the engineering team.

Seeking an AI-Powered Developer for full stack development using AI tools. Responsibilities include coding, problem-solving, and collaborating effectively in a remote environment.

Develop AI-driven solutions for sales execution focused on ERP integration, pricing engines, and optimization models while ensuring ROI alignment.

Senior Software Engineers will develop AI-native products, write maintainable code, deploy applications, and collaborate across teams to enhance learning experiences.

As a Staff Software Engineer, you will design and implement scalable AI and machine learning platforms, collaborating with various teams to enhance developer productivity and application quality.

As a Salesforce Technical Architect, you'll design solutions for Agentforce, collaborate with teams, and oversee project lifecycles while leveraging AI technologies.

As a Junior-Midlevel Developer, you will develop, maintain, and enhance an AI-powered education platform, collaborating with teams to build software and optimize performance.

Lead and implement AI-assisted engineering workflows within software development, focusing on scalable AI integration, CI/CD automation, and team enablement.

Design and implement AI solutions, leading projects, coding, testing, and mentoring team members while collaborating with business stakeholders to optimize technology solutions.

Design and build AI-enabled software applications in cloud architectures, collaborating with cross-functional teams to deliver scalable technical solutions.

Design and deploy AI systems, collaborate with teams, and enhance AI platforms. Focus on integrating AI for business efficiencies.

Lead and scale AI/ML teams, ensuring high-quality product delivery while shaping technical direction and fostering team development.

The Senior Software Engineer will design, develop, and maintain AI-driven applications, focusing on prompt engineering and integration of AI technologies while collaborating in an Agile team environment.

As a Senior Software Engineer, you will develop AI-powered risk systems, lead projects from concept to production, and collaborate with various teams to fine-tune compliance and operational needs.

As a Senior AI Platform Engineer, you will build and maintain AI platform infrastructure, enabling scalable access to AI tools and workflows, ensure security and reliability, and define deployment standards.

The role involves applying AI and ML to solve real-world physics problems, building simulations, managing customer engagements, and translating data into actionable insights, all while maintaining high scientific rigor.

The Staff Backend Engineer is responsible for designing and developing AI platforms, backend services, and APIs, ensuring scalability and reliability while collaborating with cross-functional teams and mentoring engineers.

Lead the architectural evolution of core Knowledge features, mentor engineers, and ensure product stability while guiding Agile practices within the Service Cloud Engineering team.

Lead AI software resiliency development, implementing features for reliability and fault tolerance in large-scale AI supercomputers, requiring hands-on coding and collaboration.

As Principal CRM Architect, lead CRM platform excellence, define engineering processes, and implement AI strategies while ensuring system reliability and scalability.

The Principal Software Engineer will design AI-assisted developer tools, improve software development workflows, and integrate new technologies for government contracts.

Lead the design and delivery of AI solutions for legal professionals. Mentor engineers, establish AI engineering practices, and ensure scalable architecture and quality across systems.

The role involves enhancing kernel performance and AI-assisted tooling through developer workflows, observability infrastructure, and optimization techniques, collaborating across engineering teams.