Top Software Engineer Jobs

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

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

As a Software Engineer II, you will design and implement AI solutions, collaborate with stakeholders, and maintain code quality. You'll leverage cloud services and container orchestration, guide junior engineers, and ensure production standards.

The Senior Software Engineer will optimize AI workloads using machine learning techniques for large scale GPU and CPU clusters, focusing on resource allocation, performance analysis, and collaboration on hardware/software teams.

The AI-Forward Engineer will implement AI tools for various teams, enhance tooling with AI, and develop practical solutions across functions, promoting collaboration and acceleration of workflows.

The Staff Software Engineer will develop and maintain AI/ML systems, oversee cloud operations, engage with clients, and participate in R&D to enhance AI capabilities.

Design and develop AI-driven, cloud-native products for clients. Lead technical decisions and collaborate with teams to integrate AI models into applications.

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

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.

Lead architecture and development of scalable Java-based WFM server-side solutions, champion AI-assisted development, drive engineering standards, mentor senior engineers, resolve production issues, and collaborate cross-functionally to deliver enterprise software.

The role involves leading application architecture and development of digital solutions, requiring extensive experience in cloud technologies, full stack development, and AI integration while mentoring teams and influencing product strategy.

Build responsive, scalable frontend components and UIs for an enterprise MDM product. Translate UX designs, integrate with backend APIs, ensure performance/accessibility, write tests, debug cross-browser issues, and apply AI tools to accelerate development and validate AI-generated code while collaborating with product, UX, backend, and platform teams.

Develop full-stack, AI-first MDM features using Java and modern JavaScript (React/Angular). Build responsive UIs, design REST APIs, write unit/integration tests, debug front-end and backend systems, and apply AI tools to accelerate development and improve code quality. Participate in Agile ceremonies and collaborate across Product, UX, QA, and Platform teams.

Join Travelers as a Software Engineer I to perform end-to-end engineering tasks using AI-driven tools across the software lifecycle. Responsibilities include design, development, testing, debugging, monitoring, incident resolution, and documentation. The role emphasizes continuous application of AI tooling, prompt engineering fluency, steady delivery, domain understanding, and collaborative problem solving.

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.

You will build agentic AI products across web, backend, and iOS, owning features end-to-end and mentoring junior teammates.

Design, develop, and maintain enterprise full‑stack applications; implement AI/ML pipelines and RAG systems; ensure DOE compliance and hardened security; collaborate with infrastructure and security teams; support CI/CD, containerization, and production incident response.

Administer, govern, and scale Microsoft Power Platform and AI automation across enterprise environments. Design and develop Power Apps, Power Automate flows, Copilot Studio agents, and integrations (Microsoft 365, Dataverse, APIs). Enable CoE adoption through training, governance, monitoring, ALM, and citizen-developer support while ensuring compliance, validation, and operational excellence in regulated settings.

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.

Develop and maintain AI-driven features, design scalable data structures and pipelines, and enhance platform capabilities while collaborating with teams.

As an AI-native Software Engineer, you will optimize developer experience and create tools for AI coding to enhance efficiency at Cartesia.

As a Forward Deployed Engineer, you will develop AI agents and automation workflows, collaborate with teams, and ensure secure, reliable solutions integrating with various systems.

The Engineering Manager will lead a cross-continent team to enhance engineering productivity using AI tools, collaborate across departments, and deliver innovative product experiences.

Own product areas end-to-end: discover, prototype, ship, and iterate. Build secure, well-tested, observable full‑stack systems; partner with product, design, data, and clinical teams; use data and experimentation to validate impact; improve AI‑native development practices and engineering systems while balancing speed, safety, and reliability in a regulated healthcare context.

The AI Data Engineer will design and implement data pipelines, build AI-optimized data infrastructure, ensure data quality, and collaborate with teams to support AI applications.