Top Software Engineer Jobs

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.

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.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

The AI-Forward Engineer will implement AI tools for various teams, enhance tooling with AI, and develop practical solutions across functions, promoting collaboration and acceleration of workflows.

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

Design and build agentic AI systems using Node.js and Java. Optimize LLM workflows and develop scalable services to enhance customer interactions at eBay.

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.

As a Full Stack & AI Engineering Intern, you'll contribute to AI-driven personalization systems, develop backend components, support data integrations, and collaborate on full stack features to enhance user engagement.

Design and build core systems for data processing and AI pipelines, ensuring reliability and scalability for enterprise clients while mentoring junior engineers.

As an Engineering Intern, you will develop AI-driven tools for marketing and sales, contribute to production-level code, assist in data modeling, and collaborate across teams while gaining exposure to a fast-paced tech environment.

As a Full Stack + AI Engineer, you will implement AI-driven personalization, manage data modeling, build loyalty program infrastructure, develop API layers, and collaborate across teams to optimize user engagement through technology.

As a Full Stack Engineer, you'll develop features for backend services and frontend interfaces, design architectures, and collaborate with clients. You'll own the complete lifecycle of features from ideation to deployment.

Develop computer vision and machine learning solutions, research algorithms, work with product teams to collect datasets, and balance research with production code.

As an AI Solution Engineer, you will architect and demonstrate AI solutions, lead technical discussions, and assist customers with AI outcomes in pre-sales engagements.

As an AI Product Engineer, you'll lead the development and integration of AI products using LLMs and other technologies while collaborating with cross-functional teams.

The Full-Stack Software Engineer will develop and maintain software solutions using AI-assisted workflows, and collaborate with cross-functional teams to meet customer needs.

The Enterprise Applied AI Engineer builds internal applications for enterprise operations, designs data architecture and workflows, and collaborates on systems integration.

As a Software Engineer II, you will design and implement AI solutions, collaborate with stakeholders, and maintain code quality. You'll leverage cloud services and container orchestration, guide junior engineers, and ensure production standards.

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 Staff Software Engineer (Agents) will architect an agent platform, manage foundational technical decisions, lead product-building efforts, and mentor engineers in an early-stage startup focused on industrial operations and AI.

The Senior Software Engineer will develop agent systems using AI for supply chain workflows, integrate APIs, and enhance evaluation frameworks. Responsibilities include customer embedding, product design, and operational improvement through AI.

Lead a team of software and ML engineers to develop voice-first AI gaming systems. Collaborate with product and game teams to enhance user experiences and deliver impactful features.

The role involves developing the AI Gateway, enforcing AI traffic policies, tracking AI usage, improving observability, and collaborating with teams to ensure customer trust and system reliability.

The Software Engineer will develop AI/ML applications, manage AWS infrastructure using Terraform, and write GPU-enabled systems, requiring extensive experience in software engineering.

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.