Top Software Engineer Jobs

Seeking an AI-expert QA Automation Engineer to develop AI models, implement QA processes, and enhance testing automation. Responsibilities include building automation architecture and integrating AI tools for efficiency.

Lead AI Platform Engineering at MassMutual, overseeing technology strategy and team management to deliver scalable AI systems. Collaborate across functions to align AI strategies with business objectives.

The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.

Interns will participate in a 10-12 week program focusing on AI engineering, automation, and data science, gaining hands-on experience in technology projects.

The Senior AI Automation Engineer will develop intelligent automation systems, utilizing AI and various APIs, while enhancing CRM integrations and streamlining operations.

Lead AI product initiatives on Edge devices, optimize ML models for Edge compute constraints, and develop AI solutions using petabyte-scale data.

Manage a team of AI engineers in developing AI-powered features, collaborating with various stakeholders while also contributing hands-on to the codebase.

As a Senior Engineer at 8am, you will design and implement AI features, collaborate with teams, and develop tools for AI deployment.

The Data Engineer II will design and optimize data pipelines, enforce software engineering practices, and collaborate with teams on data workflow improvements.

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.

Contribute to AI integration in developer workflows by implementing agents and servers; improve AI-generated changes and collaborate on experiments.

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

The Lead Software Engineer is responsible for guiding the team in developing scalable Android solutions, leading integrated applications, and mentoring engineers in software best practices.

As a Principle Engineer at Atlassian, you will be responsible for designing and developing engineering solutions, leading teams, and ensuring high-quality standards in engineering processes.

As a Senior Software Engineer, you'll build AI-powered products, lead AI adoption, manage infrastructure, and mentor team members in a collaborative environment.

The Senior Developer Advocate will lead initiatives in Generative AI, create content, coach teams, and advocate for community needs while enhancing Datadog's reputation.

The Staff Software Engineer will design, develop, and enhance AI components for Starburst, focusing on building agents for data exploration and collaboration across products.

Lead the AI engineering team to deliver AI applications, focusing on cloud-native engineering, DevOps/MLOps, and efficient deployment practices.

The Principal Detection Engineer will develop and implement advanced threat detection systems using AI and ML technologies, optimize detection models, and collaborate across teams to enhance cybersecurity efforts.

The Engineering Manager leads a team to develop technology solutions for financial advisors, promoting agile practices and collaboration while driving continuous improvement and innovation.

The Senior Traffic Engineer will supervise staff, design traffic engineering plans, coordinate with clients, and oversee traffic data analysis and optimization efforts.

As Principal Technology Architect - GenAI at AIG, you will oversee architecture for applications, drive AI strategy, and collaborate on technology standards while managing complex problem solving and leading initiatives.

The Computational Sensing Research Engineer will develop high impact solutions focusing on signal chains, mixed-signal design, and machine learning for sensor data processing, working in a collaborative environment to innovate sensing platforms.

Develop and maintain microservices applications, handle real-time data streaming, and collaborate on AI features. Optimize systems and troubleshoot.

The engineer will conduct regression tests, develop Red Hat scripts for automation, and assist with system architecture and testing for air traffic management systems.