Top Software Engineer Jobs

The Backend Engineer will contribute to building Ambient AI solutions, scale infrastructure, design AI pipelines, and collaborate closely with engineering and product teams to enhance model deployment and performance.

The Fullstack Engineer will design and implement integration solutions for healthcare systems, collaborating across teams and ensuring compliance with standards like HIPAA. Responsibilities include troubleshooting, mentoring junior engineers, and driving best practices in integration development.

The Senior Fullstack Engineer will lead the design and development of scalable software solutions, enhancing product architecture, collaborating with cross-functional teams, and promoting coding best practices.

The Senior Backend Engineer will contribute to healthcare platform development, scale infrastructure, work across the software stack, and support customers. Requires strong Python skills and experience in building production environments.

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

As a Senior Software Engineer, you'll develop AI-powered tools, manage complex databases, optimize application performance, and lead technical decisions.

As a Senior Software Engineer for Internal AI, you will build and oversee central platform capabilities for non-software engineering teams, ensuring application-level standards and efficient communication with core Engineering.

The Senior Software Engineer leads backend system development, mentors team members, and collaborates cross-functionally to deliver high-quality APIs and applications.

The Senior Software Engineer will lead frontend development of significant projects, mentor junior engineers, and ensure high-quality UI solutions using React and TypeScript while collaborating with cross-functional teams.

The Software Engineer II - AI will lead backend development projects, build and maintain scalable APIs, mentor junior engineers, and influence engineering practices while working within the .NET ecosystem.

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.

As a Staff AI Engineer, you'll lead AI product development by building full-stack features, managing backend orchestration, and mentoring engineering peers, focusing on quality code and AI integration.

Join a team that designs and develops AI agents for enterprise automation, handling complex orchestration and enhancing AI-human collaboration.

Lead complex client engagements in data engineering and digital transformation, advising C-suite executives on data strategy, architecture, and implementation. Architect and optimize scalable data solutions while mentoring teams and driving business development.

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.

Lead engineering best practices and develop scalable AI-driven applications and data pipelines while mentoring other engineers. Analyze complex problems and deliver impactful AI products.

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.

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.

Lead and mentor teams to implement AI solutions, providing architectural guidance and ensuring high technical standards, while driving continuous improvement in engineering practices.

Design and build agentic AI systems using Node.js and Java. Optimize LLM workflows and develop scalable services to enhance customer interactions at eBay.

Design and implement high-performance C++ system software that interfaces with GPUs and hardware, integrate AI frameworks across platforms, contribute to build systems and toolchains, collaborate with cross-functional teams, and grow into architecture and leadership roles.

As a Full Stack & AI Engineering Intern, you'll contribute to AI-driven personalization systems, develop backend components, support data integrations, and collaborate on full stack features to enhance user engagement.

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 + AI Engineer, you will implement AI-driven personalization, manage data modeling, build loyalty program infrastructure, develop API layers, and collaborate across teams to optimize user engagement through technology.

As an Engineering Intern, you will develop AI-driven tools for marketing and sales, contribute to production-level code, assist in data modeling, and collaborate across teams while gaining exposure to a fast-paced tech environment.