Top Software Engineer Jobs

Lead the Messaging AI engineering team to enhance automated SMS marketing experiences. Manage people, develop engineering processes, and drive product development.

The role involves mentoring partners, shaping strategic plans, developing resources, collaborating with technical teams, and advocating for customer needs in AI solutions.

Design and manage scalable AI infrastructure, ensuring reliability and performance. Engage in the full lifecycle of cloud services and support production systems.

Lead and manage a team of DevOps engineers to enhance AI inference infrastructure, ensuring performance, reliability, and optimal deployment strategies.

The Principal AI Engineer leads AI/ML initiatives, collaborates with cross-functional teams, and drives technical innovation, ensuring impactful client-focused solutions.

Lead the development of AI tools to enhance operational efficiency and member experience at BECU, collaborating across functions and mentoring engineers.

Lead a team in the architecture and validation of AI GPU products, ensuring design quality and collaborating with cross-functional teams.

Lead a cross-functional AI product engineering team, oversee technical direction, ensure operational excellence, and participate in hands-on engineering.

Design, implement, and manage Google Cloud infrastructure for AI solutions, automate tasks using Python, and ensure application security and performance.

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

The Software Engineer role focuses on building AI agents that collaborate across integrated applications, enhancing workflows, evaluating performance, and contributing to engineering excellence.

Lead AI project execution, optimize AI performance, design scalable solutions, mentor team members, and stay updated on AI developments.

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

The role involves leading AI networking projects, developing innovative solutions, and optimizing infrastructure by collaborating across teams. Requires extensive experience in AI, machine learning, and systems software development.

The Cloud Data Engineer will enhance cloud service operations by ensuring reliability, security, and performance while implementing standards and automation. Responsibilities include building components in Azure, monitoring resources, troubleshooting, and documenting best practices.

The Full Stack Developer will design and develop applications for conversational AI, managing both frontend and backend systems while integrating AI tools and collaborating across teams.

Lead a team of engineers integrating generative AI into design flows at Figma. Collaborate across teams, hire talent, and ensure quality delivery.

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.

The Technical Lead AI Software Engineer will design AI-augmented tools, improve developer experience, and mentor other engineers, focusing on automation and CI/CD workflows.

The role involves designing and implementing cloud-native infrastructure for AI/ML workloads, optimizing Kubernetes environments, and contributing to open-source MLOps tooling.

The role involves designing and managing Azure-native infrastructure, building CI/CD pipelines, ensuring security, and optimizing performance for distributed microservices within AI-driven solutions.

Design, develop and maintain data pipelines and ETL processes. Collaborate with cross-functional teams to implement AI solutions and ensure data quality.

The Lead AI Product Engineer will guide a distributed team to build scalable AI-integrated software solutions, oversee architecture and AI strategy, and mentor developers.

This role involves designing and building a next-generation observability platform for large-scale AI and HPC workloads, optimizing telemetry data pipelines, and developing analytics for real-time insights.

Lead the design and integration of AI-driven features for Spot AI's products, transforming video data into actionable insights to improve safety and operations for various businesses.