Top Software Engineer Jobs

As a Principal Full Stack Engineer, you will shape the architecture of the Atlas AI platform, build user-friendly interfaces, mentor engineers, and implement AI capabilities across product offerings.

As a Full Stack Engineer at Litera, you will design, develop, and test scalable applications, focusing on AI technologies and quality engineering. You'll collaborate with teams and ensure adherence to coding standards while utilizing modern web development frameworks.

The Senior Data Architect will design and implement modernized, AI-ready enterprise data platforms, focusing on unstructured data and AI capabilities. Responsibilities include developing RAG architectures, optimizing storage for structured and unstructured data, and ensuring data governance for compliance and innovation.

Lead development of AI-native applications as a Sr. Staff Software Engineer, overseeing architecture, mentoring teams, and driving project delivery.

The Senior Machine Learning Engineer will design and develop ML models for 3D assets, integrating AI into creator tools while collaborating with engineering and creative teams.

The Senior AI Architect will design and develop scalable web applications, focusing on AI and analytics, collaborating with teams on software solutions.

Lead and mentor engineering teams to deliver conversational AI solutions, ensuring alignment with business goals and optimizing customer experience.

As a Forward Deployed Engineer, you'll collaborate with robotics teams to implement solutions, improve products, and create technical resources, requiring deep technical expertise and customer engagement skills.

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.

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.

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.

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.