Top Software Engineer Jobs

The Senior Frontend Developer will build responsive web applications, integrate AI/ML capabilities, and lead teams while collaborating with various stakeholders.

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

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 AI Software Engineer will design and implement integrations between AI models and school systems, focusing on enhancing school operations through automation and effective API development.

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.

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

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.

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

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

As a Senior Software Engineer, you'll build and operate the ML platform, optimizing data operations, managing the feature store, and supporting ML initiatives while driving architectural roadmap decisions.

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

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

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

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

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 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.

Design, build, test, and maintain scalable Java backend services while developing AI-driven engineering workflows and agentic tooling. Own CI/TDD practices, create automated tests, integrate AI tools and prompts into development pipelines, collaborate on architecture and Agile ceremonies, mentor peers, and evaluate emerging AI technologies to improve engineering velocity and quality.

Design, implement, and support scalable Java-based Workforce Management services. Own features end-to-end, drive architectural decisions, mentor engineers, and integrate AI-assisted development tools and workflows to improve engineering productivity and quality.

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.

Build reusable AI developer tools, RAG knowledge systems, and AI-assisted SDLC workflows. Integrate coding assistants and design-to-code tooling, define secure observable patterns, and own reliability, usage, and cost for internal AI platforms.

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.

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

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