Top Software Engineer Jobs

Design, build, deploy, and maintain internal and guest-facing systems across hotels and restaurants. Build integrations, automations, and websites; manage identity, deployments, networking, and monitoring; use AI-assisted tools to accelerate delivery. Produce documentation, simplify systems, and partner with leadership on long-term technology strategy.

The AI Special Projects Engineer will work cross-functionally to build features, automate workflows, and create demos for Lightning Labs, focusing on AI-driven solutions.

As a Senior Software Engineer at Vanta, you will design and build internal tools for go-to-market teams, focusing on applications that enhance sales and customer engagement, employing modern tech and AI workflows.

Define and document a repeatable inbound AI methodology for healthcare. Partner with 5–7 health systems to design decision trees, IVR logic, provider directory mapping, and escalation rules. Translate workflows into product requirements, influence the Front Door roadmap, and enable deployment teams with playbooks, templates, and training so deployments scale without continuous oversight.

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 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.

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.

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.

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.

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.

As a Software Engineer on Applied AI, you will build and operate scalable systems for data generation and model evaluation, collaborating closely with AI researchers and customers to deliver high-impact solutions.

Design, implement, test, and maintain cloud-native software solutions. Troubleshoot complex defects, build APIs and integrations, enable AI/LLM capabilities, mentor junior engineers, contribute to CI/CD and observability, and collaborate with cross-functional teams to deliver reliable systems.