Top Software Engineer Jobs

The role involves leading the architecture, development, and scalability of fullstack systems for AI agents while mentoring engineers and making technical decisions.

The Senior AI Engineer leads software implementation, mentors engineers, collaborates with product and DevOps teams, and ensures production reliability.

The Software Engineer will design and develop scalable AI-driven solutions, focusing on Agentic AI systems and collaborating in an Agile environment.

The Frontend Engineer will design web interfaces for AI research functions, focusing on data annotation and visualization, optimizing for efficiency.

The Lead Engineer will manage AI-enabled internal product development, focusing on full-stack system ownership, agentic coding, and collaboration with cross-functional teams.

The AI Engineer will build AI-powered solutions, enhance user interfaces, manage UI/UX processes, and collaborate with teams to deliver quality products.

Lead the design and implementation of runtime systems for an AI accelerator, overseeing architecture, performance tuning, and team mentorship.

The Senior Software Engineer will design and implement AI solutions for Legal & Compliance, providing technical and guidance leadership, ensuring best practices, and collaborating effectively with stakeholders.

As a Forward Deployed Software Engineer, you'll embed with logistics companies, integrate AI agents, debug systems, and ensure reliable deployments while collaborating closely with customers.

Lead the technical direction for AI applications at Nubank, focusing on LLM integrations, complex systems, and mentoring teams while driving engineering excellence and strategic decision-making.

The AI Engineer will develop user-facing features using TypeScript and React, collaborate on product ideas, and leverage AI coding tools in a high-velocity team environment.

Lead a team of engineers developing AI products for financial services, focusing on integrated solutions within Excel and PowerPoint, ensuring reliable compliance, and managing team development.

As a Software Research Engineer, you will innovate solutions, lead projects in distributed systems, and interface with stakeholders. You'll write proposals and transition technologies to products.

As an Applied AI Engineer, you will create AI systems for Governance, Risk, and Compliance, focusing on accuracy, innovation, and responsible design.

As a Senior Software Engineer, you'll build and deploy AI-powered solutions, collaborating with clients to optimize workflows, design systems, and handle ambiguous problems.

The Software Research Engineer will conduct innovative research in distributed systems, lead projects, and create solutions for autonomous technologies.

Design and build scalable full stack applications using Node.js and React. Collaborate with teams to enhance features, optimize performance, and maintain robust systems.

The AI Engineer will prototype and implement innovative document search methods, owning impactful projects as part of Humata's cognitive architecture team.

The Staff Software Engineer will lead the development of AI-native products by defining architecture, managing deliveries, mentoring engineers, and ensuring product quality in a startup environment.

Lead the development of an AI-powered geospatial chat application, integrating user-focused design with complex AI insights and data visualizations.

Design, develop, and productionize scalable AI tools for systems engineering in autonomous vehicles, integrating data for traceability, and building backend services.

The AI Solutions Architect will design and implement AI solutions, architect AI infrastructure, lead initiatives, and mentor teams while ensuring alignment with business objectives.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

The AI Enablement Engineer will design and build internal tools and AI-powered systems for client deployments, utilizing a full-stack approach. Responsibilities include creating deployment tooling, integrating AI solutions, and operating with high autonomy to identify problems and develop effective solutions.

Lead the architecture and delivery of AI-powered fraud detection solutions, integrating Generative AI and ensuring compliance while mentoring engineers.