Top Software Engineer Jobs

The developer will create AI-powered web tools, manage serverless API integration, design interactive experiences, handle email pipelines, and ensure reliable data capture flows.

As an Engineering Lead, you'll manage cross-functional teams to integrate AI into customer service products, oversee development processes, ensure technical excellence, and mentor engineers.

The AI Full Stack Engineer leads the design and development of AI-enabled systems, utilizing Python and Java, while mentoring team members and ensuring best engineering practices.

Lead technical design and delivery of scalable, cloud-native SaaS solutions. Drive architecture and implementation across frontend and backend stacks, mentor engineers, apply AI/agent workflows and NLP, ensure high availability, and collaborate with product and cross-functional teams to ship reliable, production-grade systems.

Seeking a Principal Data Architect to lead enterprise data platform development, collaborate with teams, and design scalable data architectures using modern technologies.

As a Senior/Lead AI Software Engineer, you will develop intelligent agents for supply chain tasks, drive architectural decisions, lead technical strategies, and collaborate across teams while mentoring engineers.

As a Software Engineer on the AI Core Team, you'll design and build AI pipelines and workflows, optimize systems, and collaborate cross-functionally to deliver advanced AI solutions. Requires proficiency in Python, JavaScript, and AWS services.

The Agentic AI Engineer will lead the design and implementation of agentic AI systems, focusing on flow design, prompt engineering, and MLOps practices. Responsibilities include overseeing strategic planning, providing architectural guidance, mentoring engineers, and ensuring AI solutions meet business objectives.

The Senior Solutions Architect will design high-performance AI infrastructure, support sales, manage customer relationships, and provide onsite solutions and training.

As a Staff Software Engineer at Oura, you'll architect backend systems, lead AI orchestration, and ensure secure data integrations while focusing on user experience and rapid prototyping.

Design and build scalable, event-driven backend systems for AI agents, ensuring reliable agent logic, orchestration, and fault tolerance across workflows.

Design and build AI-driven agents and large-scale backend systems to improve efficiency in revenue organizations, ensuring reliability and scalability during high-volume processing.

The AI System Architect will architect, design, develop, and troubleshoot AI systems, guiding less-experienced staff and influencing business strategy at HPE.

The Intelligent Automation Developer II designs and implements AI and automation solutions, collaborating on project requirements, developing machine learning models, and ensuring seamless integration across systems.

The Application Engineer III (AI) will design, develop, and implement applications for Vanguard's AI platform, ensuring integration and automation while mentoring less experienced staff and managing production support.

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

The Full Stack Engineer will help advance the AI roadmap and support the launch of new enterprise customers while working on a remote team.

The Senior AI Frontend Engineer will design and implement user interfaces using modern web technologies, ensuring intuitive and elegant user experiences while owning features end-to-end, collaborating across teams to bridge AI capabilities with frontend design.

The Staff AI Frontend Engineer will architect scalable front-end systems, own user-facing features, bridge AI capabilities with user experiences, and use AI tools to prototype design concepts.

Join Klarity as an AI Frontend Engineer to build production UI components, collaborating with senior engineers and designers, while learning about AI-powered workflows and modern frontend development.

The AI Implementation Specialist will integrate AI tools within construction teams, enabling them to work smarter and capturing expert knowledge to inform technology development. Responsibilities include shadowing project teams, evaluating contech tools, and conducting training sessions on AI workflows for field personnel.

The AI Implementation Specialist will work onsite to connect AI tools with field teams, capture field intelligence, and enhance construction workflows through technology. This includes training, evaluating tech, and providing insights to improve operational effectiveness.

The AI Implementation Specialist will leverage AI tools in construction, shadow project teams to understand workflows, and synthesize insights to improve technology integration on jobsites.

As an Applied AI Software Engineer, you'll design scalable systems, write high-quality code, ensure system reliability, and utilize AI to enhance user experiences while mentoring team members.

Design and develop full stack applications, integrating AI into workflows, mentoring team members, and managing software quality and support.