Top Software Engineer Jobs

Build and enhance AI applications for enterprises, focusing on frontend development using modern technologies like Next.js and React. Collaborate with teams to create intuitive user experiences and optimize UI performance.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

As a Senior Backend Engineer at Posh, you will design and scale backend services, manage AI infrastructure, and collaborate on integrating AI features into products.

The role involves designing and building cloud-native applications, enhancing AI capabilities, and collaborating with teams in secure environments.

As an Engineering Intern, you'll work on technology projects, learn about AI and automation in finance, collaborate with teams, and participate in community events.

As Engineering Manager, lead AI/ML infrastructure development, guide team through technical challenges, ensure safety in AI applications, and mentor engineers in a dynamic environment.

The Engineering Manager will lead the AI/ML Platform team, enhance AI infrastructure, ensure safety and efficiency, and mentor engineers in a dynamic environment.

The software engineer will build and operate infrastructure for AI agents, ensuring reliability, scalability, and security. Responsibilities include managing LLM services, developing storage systems, and enhancing observability while collaborating cross-functionally.

The Federal Solutions Engineer collaborates with sales teams to sell identity security solutions, conducts technical presentations, and mentors junior engineers while managing customer engagements and driving revenue opportunities.

Join Raft to innovate national defense technology. Collaborate on AI, machine learning, and UX/UI design to create impactful defense solutions.

Seeking a Senior Java Developer to drive AI adoption and improve developer experience through automation, tooling, and frameworks. Responsibilities include design and delivery of AI-assisted workflows, test automation frameworks, platform tooling, and optimizing development processes.

The Lead AI Developer will design and implement advanced AI capabilities within a Microsoft-based platform, ensuring safety and scalability while providing technical leadership and mentorship.

Lead the development of AI-driven software solutions to improve customer experience by addressing issues, monitoring performance, automating resolutions, and mentoring team members in a full stack development environment.

Lead and manage a team of quantitative software engineers to build scalable analytics frameworks for terabyte-scale risk and performance calculations. Partner with Risk Management to develop quantitative risk, exposures, stress testing, performance metrics, and capital allocation analytics using cloud, distributed computing, and modern data technologies.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.

Design, develop, and maintain front-end and back-end web applications, providing technical leadership and innovative solutions in a collaborative multi-office environment.

Lead the architecture and reliability of AI-driven product applications, ensuring security, performance, and facilitating rapid prototyping and shipping. Work closely with a cross-functional team to solve user problems and translate business needs into technical solutions.

Drive AI integration strategies and partnerships, provide architectural guidance, and facilitate technical discussions. Design solutions ensuring security and governance for AI services.

Design and build core services for AI products, implement compliance guardrails, debug fullstack issues, and participate in code reviews.

The Full Stack Engineering Lead will design and deliver end-to-end solutions using AI and emerging technologies, leading teams and collaborating with stakeholders to drive innovation and technical governance.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

The Developer Experience Engineer will improve developer experience by modernizing tools, building AI-powered systems, and accelerating product delivery at Kustomer.

As a Machine Learning Engineer in the AI for Autonomy Lab, you will develop prototypes, lead engineering research, and collaborate with various stakeholders to enhance autonomy systems using AI technology.

As a Senior Backend Engineer at Posh, you will design, build, and maintain scalable systems and APIs for AI features, focusing on Multi-Agent Systems and cloud infrastructure management.