Top Software Engineer Jobs

As a Full Stack Software Engineer, you will develop AI-driven products, manage code pipelines, support team operations, and ensure system health, leveraging technologies like React and Node.js.

The Early Career Software Engineer will design, develop, and maintain software solutions with a focus on AI integration, collaborating with teams to create innovative features.

The Backend Engineer for AI will develop AI-powered features, solving complex problems, collaborating with teams, and delivering impactful products.

As a Forward Deployed Engineer, you will translate AI research into real-world applications, architecting solutions and deploying systems for enterprise customers.

Design, build, test, deploy, and support internal AI-enabled web applications, APIs, dashboards, and workflow automations. Lead QA automation, integrate systems, establish engineering and deployment standards, and collaborate with stakeholders to improve operational efficiency and govern responsible AI use.

Design reproducible coding environments and high-quality reference solutions to train AI. Create and validate complex programming challenges, debug and optimize codebases, refactor legacy systems, document technical decisions, and review technical submissions while collaborating remotely.

Build end-to-end Ambient AI products for healthcare, work across the software stack, and engage directly with customers to resolve issues.

Lead design and implementation of AI-assisted underwriting front-end UX, own cross-platform frontend and design system, establish frontend patterns and standards, mentor and recruit engineers, rapidly ship and iterate features, and collaborate with design, product, and backend teams to create explainable, auditable human-in-the-loop workflows.

The Senior Applied AI Engineer will build and enhance backend services using Python, working closely with data, infrastructure, and APIs to meet customer needs while ensuring system performance and reliability.

Lead the architectural design of Coupang's real-time streaming and AI platform, ensuring high performance and availability while integrating AI/ML models.

The role involves enabling enterprise-wide adoption of Microsoft AI and Automation tools, developing scalable platforms, and ensuring compliance with regulations. Responsibilities include platform strategy, architecture, agent development, and governance in a highly regulated financial environment.

Lead solutions architecture for government clients, embedding with stakeholders to deploy GenAI solutions, and ensuring project success through prototype development and technical guidance.

Design and build core systems for data processing and AI pipelines, ensuring reliability and scalability for enterprise clients while mentoring junior engineers.

As a Full Stack Engineer, you'll develop features for backend services and frontend interfaces, design architectures, and collaborate with clients. You'll own the complete lifecycle of features from ideation to deployment.

The Lead Product Engineer will design and deploy enterprise applications, drive Azure migrations, and collaborate with cross-functional teams in an AI-driven environment, mentoring junior engineers and implementing best practices.

The role involves building and integrating full-stack features for an AI chat application, focusing on reliable workflows and real-time AI interactions.

As a Software Engineer, you'll enhance AI Engine performance, optimize app features, and collaborate on GPU/CPU optimizations with hardware partners.

The Staff Software Engineer will design and develop scalable cloud services, focusing on AI infrastructure, with hands-on system architecture, mentoring, and engineering culture shaping responsibilities.

Design, build, and improve ML systems and infrastructure, mentor junior engineers, and write maintainable code in a customer-focused environment.

Develop computer vision and machine learning solutions, research algorithms, work with product teams to collect datasets, and balance research with production code.

Embed with cross-functional teams to design, build, and maintain AI applications. Translate business requirements into production software, implement and integrate AI/LLM features, and collaborate closely with stakeholders on product outcomes.

Build and operate core AI agent infrastructure: orchestration, context management, filesystem and sandboxed execution, model routing and serving, databases, Kubernetes, networking, and cloud systems to make long-running agent workloads fast, reliable, safe, and cost-efficient.

Maintain, configure, and enhance PeopleSoft Financials (GL, AP, AM, TR-CM); design reports and SQL queries; lead testing and QA; identify process improvements and integrate AI tools to accelerate development, testing, and documentation while collaborating with stakeholders.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

As a Senior Applied AI Engineer at Vanta, you'll design and implement AI-powered features, mentor engineers, and ensure AI systems improve customer experience, leveraging LLMs and full-stack development skills.