Top Software Engineer Jobs

As Director of Software Engineering, you will lead AI-first platform development, manage engineering teams, define architecture, and ensure quality delivery across projects.

Design, develop, and maintain web applications focusing on frontend and backend components while collaborating with cross-functional teams to deliver high-quality software solutions.

The Senior/Staff Backend Engineer will build AI-driven products, optimize performance, collaborate with teams, and establish best practices for Applied AI at Fora.

The Senior/Staff Full Stack Engineer will develop AI-driven products, enhance the advisor portal's functionality, and ensure system reliability using best practices in software and AI development.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior engineers.

As a Python Engineer, you will develop AI agents, ensuring clean code, testing, and effective collaboration in an Agile environment.

The role involves redesigning software development with AI and automation in a senior engineering position, focusing on improving SDLC efficiency and tool adoption across teams.

Build and enhance AI Meeting Notes to optimize data capture, improve summaries, ensure reliability, and deliver enterprise-ready workflows. Own end-to-end product development.

The Principal Software Engineer will lead architecture and design of AI applications, ensuring scalable systems while mentoring teams and driving best practices in full stack development.

The role involves designing, building, and maintaining backend services, developing AI/ML features, managing databases, and ensuring production readiness with a focus on best practices in software engineering.

As a Backend Software Engineer II, you will develop and maintain member-facing features using WHOOP's AI capabilities, collaborating with cross-functional teams and ensuring high-quality software solutions.

The Senior Backend Engineer will design, build, and scale AI-driven operations, manage the product lifecycle, and implement AI technologies while ensuring data security and system performance.

Lead the technical direction of AI initiatives by building scalable backend systems, mentoring junior engineers, and ensuring operational excellence.

The AI Agentic Software Engineer will design, build, and operate AI-driven agents for Xfinity applications, enhancing customer experience and workflows.

The Software Engineering Manager will lead a backend engineering team for AI agent systems, oversee people management, and provide hands-on technical contributions. Responsibilities include ensuring team health, delivering production-ready systems, and guiding architectural decisions while also collaborating with product and design teams.

As a Software Engineer, you'll build AI-driven software solutions for various internal teams, emphasizing customer collaboration and problem-solving.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

As a Senior AI Compiler Engineer, you will design and build a custom MLIR-based compiler stack for next-gen silicon, optimizing AI models without an OS. Responsibilities include creating MLIR dialects, ensuring accuracy in lowering computational graphs, and maintaining a high-performance compiler codebase.

As a Senior Engineer 2, you'll lead the design and delivery of high-scale AI Inference services, optimizing performance and mentoring junior engineers in a collaborative environment.

As a Knowledge Development Engineer, you'll architect and deploy AI-driven production systems, reverse-engineer existing systems, and guide product development. You'll synthesize customer feedback and lead experiments to connect technical development with business outcomes.

The Knowledge Development Engineer leverages AI agents to solve customer problems by building applications and automating workflows, focusing on delivery speed and quality.

Design and develop full stack applications leveraging AI tools. Ensure system resiliency and scalability while leading technical initiatives and collaborating across teams.

Design and implement data-driven and AI-assisted systems for manufacturing execution, develop workflows, and improve operational decisions. Collaborate with teams for effective deployment.

The Senior Innovation Engineer develops and implements Pega intelligent automation solutions, collaborating with architects and teams to enhance digital transformation projects.