Top Software Engineer Jobs

The Principal Software Development Engineer leads the architecture and delivery of AI-driven healthcare applications, overseeing full stack development and collaborating with stakeholders to align technical solutions with business needs.

The Lead Full Stack Software Engineer will oversee the development of AI-assisted digital platforms, ensuring technical excellence and mentoring engineers, while integrating modern front-end tech with back-end systems to enhance guest experiences.

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.

Design, build, and operate cloud-native full‑stack applications and services (API to UI). Own features end-to-end, collaborate across product and architecture, and help define an AI-native SDLC using agentic AI to reshape development, testing, and deployment practices.

The Senior Software Engineer will design and implement on-premise CaaS and GPUaaS platforms, develop a cloud-integrated marketplace, and contribute to infrastructure monitoring and optimization.

Ownership of end-to-end full-stack feature delivery: design, build, and deploy React frontends and Node/Express TypeScript services on AWS. Architect simple, scalable AWS-native systems (ECS Fargate, Lambda, RDS), model MySQL schemas, lead code review and testing practices, mentor engineers, and integrate AI-assisted development tools into the workflow while partnering with stakeholders to translate business needs into production 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.

Lead design and implementation of serverless Python backends on AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge). Architect event-sourced systems, ensure reliability, idempotency, security, IaC and CI/CD, mentor engineers, and integrate AI-assisted development tools while addressing their risks and opportunities.

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.

Design, build and deploy secure, production workflow automations across business systems. Connect apps via APIs/webhooks, add validation/error handling, document processes, train users, monitor outcomes and ensure data governance and security.

The Senior Software Engineer will build evaluation infrastructure for AI systems, ensuring reliability and accuracy. Responsibilities include designing datasets, benchmarks, and test harnesses for AI behavior assessment.

Lead the engineering team for Rescale's core cloud computing orchestration engine, focusing on AI-assisted development, operational excellence, and scalable distributed systems.

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.

The AI Product Engineer role at Rhythms involves building production AI software, managing features across multi-agent systems, and optimizing user experiences.

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 Engineering Manager will lead the team building the LangSmith observability platform, mentoring engineers, defining technical directions, and collaborating with product teams to develop reliable AI systems.

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.