Top Software Engineer Jobs

As a Senior QA Engineer, you'll develop and automate test cases, leverage AI for enhanced QA processes, and collaborate cross-functionally to ensure quality standards in product development.

The Senior AI Engineer will build a platform enabling users to create intelligent agents, focusing on multi-agent frameworks and orchestration of LLMs.

Lead the design and implementation of AI-driven networking solutions, mentor teams, and analyze complex data to improve network performance.

Develop and optimize backend systems for AI/ML applications, collaborate with scientists to improve data processes, and build scalable solutions.

As a Senior/Principal Software Engineer in AI Enablement, you'll design and develop scalable AI/ML systems, collaborate with scientists and product managers, and optimize data-driven workflows.

The Senior Software Engineer will lead the development of AI capabilities for the digital mortgage platform, focusing on software solutions, compliance, and innovative features that enhance customer experience.

Build infrastructure for AI applications, improve efficiency of distributed AI workloads, and collaborate with cross-functional teams at Databricks.

Lead the technical execution of data science and ML projects, mentor teams, design architecture for AI platforms, ensure scalability and reliability.

Lead the AI enablement team, collaborating with cross-functional partners to develop tools and refine product requirements while mentoring engineers.

Develop and optimize AI-driven applications for healthcare, ensuring performance and security, while collaborating with cross-functional teams in an agile environment.

The AI Agentic Platform Engineer develops core capabilities for designing, deploying, and managing AI agents, ensuring security and compliance while collaborating across teams.

As a Full-Stack Engineer, you'll develop AI-powered products for clinical documentation, build APIs, and ensure scalable systems. Plus, leverage LLMs and AI-assisted tools.

As an AI Infrastructure Engineer, you will develop high-performance feature engineering infrastructure, support AI engineers, and collaborate closely with customers. Your expertise in model training and data infrastructure will drive productivity in AI applications.

As an Applied AI Engineer, you will onboard customers, deploy AI solutions, work on complex projects, and provide technical guidance. You'll contribute to open-source projects and communicate effectively with stakeholders.

The Applied AI Engineer will unify data sources into a context graph, orchestrate AI agent systems, deliver capabilities, define success metrics, and ensure reliability in a revenue software context.

The Power System Engineer conducts load and generation interconnection studies, optimizes processes through automation, and collaborates with utilities and developers to improve timelines in power system modeling and AI applications.

The Senior Engineer will design and develop automated test solutions integrating AI tools, manage projects, and enhance embedded system validation.

Lead the development of AI/ML systems for document processing, mentor engineering teams, and implement advanced machine learning solutions focused on language models and data extraction.

Lead and manage the software engineering team at C3 AI, focusing on driving product innovation, team growth, and project management in a fast-paced environment.

As a Senior Software Engineer, you will enhance AI capabilities in GEICO's systems, design scalable solutions, integrate various services, and collaborate with cross-functional teams to improve customer experience.

The GRC Engineer will implement AI and Privacy controls, perform risk assessments, and ensure secure architecture in AI systems, collaborating with various teams.

As a Senior Generative AI Engineer, you will lead the development of models for synthetic data generation and enhance the safety and capability of autonomous driving solutions at Zoox.

Lead AI adoption initiatives to enhance engineering productivity at Yahoo Mail. Drive cultural transformation, implement tool evaluations, and measure adoption metrics effectively.

The Full-stack Developer will build and deploy AI automation solutions, integrate various technologies, and develop the frontend and backend components for efficient workflows.

Develop and ship full-stack AI projects using Ruby on Rails and ReactJS, improve AI infrastructure, and optimize performance for large-scale applications.