Top Software Engineer Jobs

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

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.

The Engineering Lead will guide a team in developing Generative AI-powered applications while ensuring Agile processes and software excellence. Responsibilities include architecture design, team mentorship, and collaboration with cross-functional teams.

The Senior Program Manager will lead digital engineering transformation initiatives, collaborating with senior leadership, engineering, and IT teams to improve productivity and quality through advanced digital platforms.

Lead Appian implementation teams and architect scalable, high-performance solutions. Guide Agile delivery, integrations, DevSecOps, and QA. Mentor teams, document best practices, and support platform infrastructure and client engagements.

The AI Solutions Architect will lead the design of GenAI solutions, evaluate AI frameworks, support presales efforts, and ensure solutions are scalable and secure.

As the Engineering Director, you will lead teams developing content generation features for the Gemini App, integrating generative AI capabilities, and driving product innovation and daily usage.

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.

The role involves designing, developing, and testing scalable microservices for electronic trading in the financial sector, utilizing Java and AI technologies.

Lead the design and development of high-performance electronic trading platforms, collaborating with various stakeholders to ensure scalable solutions while managing risk and compliance.

As a Software Engineer Lead, you will design and develop AI solutions, lead tech teams, and ensure high-quality NLP capabilities. You'll integrate AI services into enterprise platforms and guide best coding practices.

You will build AI-first iOS experiences, improve app reliability, collaborate with cross-functional teams, and ensure efficient engineering practices.

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.

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

The Staff Applied AI Engineer will architect multi-agent LLM systems, drive performance optimization, mentor teams, and ensure system reliability while fostering continuous improvement.

The role involves developing AI-assisted product experiences for Datadog by building systems for chat, remediations, and codefixes, alongside collaboration with cross-functional teams to enhance user outcomes.

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

The Senior Solutions Architect will develop and deploy AI infrastructure solutions, work with customers, and drive technical pre-sales activities.

Responsible for gathering and implementing payment solutions, collaborating with teams, managing client interactions, and ensuring customer satisfaction and quality standards.

As a Graduate Engineer, you'll design and develop AI agents and features while learning finance operations, coding best practices, and developing APIs in a collaborative environment.

Develop AI agents for finance workflows, design APIs, enhance engineering practices, ensure data security, and facilitate user collaboration.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

As a Senior Solutions Architect II, you will support customer success by providing technical expertise in cloud infrastructure and AI/ML solutions, conducting demos, architecture reviews, and helping optimize cloud resources for customers.

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.

Lead AI-driven development efforts, modernize engineering processes to enhance quality and speed in software development, and implement best practices for AI tools.