Top Software Engineer Jobs

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.

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.

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.

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

Lead the design and deployment of AI systems, mentor teams, manage projects, and collaborate with business stakeholders to implement innovative technology solutions.

As a Staff AI Developer, you'll shape architecture and build systems for a grant research platform using Ruby on Rails and Python. Responsibilities include designing features, implementing core architecture, optimizing systems, and collaborating with teams to improve platform reliability and AI capabilities.

The Lead Software Engineer will mentor a frontend team while actively contributing to development, focusing on quality and collaboration with product and design partners.

The Principal Software Engineer will lead the architecture and development of Redpanda's Agentic Data Plane, focusing on integrating AI agents with enterprise data, improving system observability, and engaging with strategic customers.

The Software Engineer, AI will architect and maintain data pipelines, design distributed systems, build AI applications, and collaborate cross-functionally on ML-driven features.

As a Missions Software Engineer, you'll collaborate with defense customers to integrate and operationalize vehicle intelligence products, tackling software engineering, hardware integration, and project execution challenges.

As a C++ Software Engineer, you will design high-performance backend systems for autonomy products, tackle complex engineering challenges, and collaborate with teams to deliver robust solutions for defense applications.

The Lead Software Engineer will design and implement backend systems in C++, tackle autonomy challenges, and ensure robust software solutions meet real-world operational demands.

Design, build, and maintain RESTful connectors and normalization layers for identity/entitlement data; implement data sync, delta detection, and versioning; develop Next.js/React dashboards; integrate enterprise APIs and secure read-only auth; use AI-assisted coding tools; collaborate with PMs, architects, and QA while maintaining documentation and version control.

Build and maintain cloud- and browser-based AI and automation applications (internal and customer-facing). Integrate with third-party APIs (QuickBooks, Microsoft Graph, CRM, Zoom), implement AI workflows (OpenAI), automate business processes (Zoho, PowerAutomate), and ensure security and maintainability while working closely with leadership and IT.

Lead teams building and operating the core data platform, ingestion pipelines, datalake adoption, Data APIs, permissions, and customer-facing data access to enable reliable, scalable client data delivery and AI-enabled workflows; partner cross-functionally and develop engineering talent while reducing operational burden through automation.

Build and ship cross-platform front-end features for Box AI chat and agentic experiences using React and React Native. Integrate with backend APIs, contribute to CI/CD and deployment, run experiments (A/B tests/feature flags), and uphold accessibility, performance, and quality standards. Participate in on-call rotation and collaborate across teams to translate AI model capabilities into customer value.

The role involves researching AI system architecture, developing performance models, analyzing AI workloads, and guiding design decisions while collaborating across teams.

The role involves researching AI system architecture, developing performance models, making design decisions, and leading architecture strategies. It requires collaboration across teams to evaluate AI workloads and scalability issues.

As a Founding Software Engineer at Glacis, you'll lead engineering efforts, develop full-stack solutions, and drive AI integration while engaging directly with enterprise customers.

As VP of Engineering and AI Innovations, lead software development for AI products, enhance features, and manage product evolution in a team-first culture.

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.

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.

As a Senior Staff Engineer, you will design, build, and enhance an enterprise file transfer platform, lead technical strategies, and collaborate with teams to improve processes and ensure high-quality solutions.

The Gen AI Senior Developer is responsible for developing and implementing application systems in the AI domain, leading programming activities, providing expertise in ML and AI, and mentoring mid-level developers.