Top Software Engineer Jobs

The Performance Engineer at Salesforce will benchmark and optimize the performance of the AI Platform, focusing on performance experiments, data analysis, and system optimization. They will write code, influence performance improvements, and address challenges related to infrastructure and AI features.

As a Software Engineer at Salesforce, you will design and implement scalable applications on the Agentforce platform, focusing on AI agent tooling. Responsibilities include delivering application code, presenting designs, developing test strategies, and troubleshooting production issues, while collaborating with cross-functional teams.

The AI Scientist will research, design, prototype, and optimize AI systems for Salesforce's Agentforce team. Responsibilities include translating business problems into applied science challenges, building AI systems, mentoring team members, and educating product and engineering teams about AI innovations.

The Senior Technical AI Ethicist will lead adversarial testing for AI systems, develop safety measures, and collaborate with cross-functional teams to assess AI products for risks while conducting research on ethical AI practices. They will mentor teams and implement testing frameworks in the AI development lifecycle.

The Graduate Leadership Program at PMG focuses on developing skills in AI and software engineering, offering hands-on experience in building software solutions and scaling systems in a digital marketing context, while providing immersive training and collaboration opportunities.

As a Software Engineer II at Tanium, you will build a high-performance data hub, working with large data sets and collaborating with cross-functional teams. Responsibilities include developing backend services and APIs, implementing automated testing, and creating technical documentation.

As an AI Solution Engineer at AirOps, you will develop AI workflows to enhance product offerings and customer outcomes. You'll collaborate across teams, using analytical skills to monitor performance metrics while improving UX. Your role involves both strategic and execution-focused responsibilities, leveraging LLMs and automation tools.

The Principal AI Engineer will architect and build AI solutions, drive the AI strategy, ensure compliance with regulations, and conduct research in the FinTech domain, focusing on innovative applications of AI to improve financial decision-making.

The role involves co-founding and developing an enterprise product that leverages AI advancements. Ideal candidates should have startup experience, strong coding skills, and a focus on user-friendly software creation, ready to contribute individually in a collaborative environment.

As a Frontend Engineer at Roboto Ai, you will create innovative user experiences for analyzing and visualizing multi-modal sensor data. You will design beautiful web applications, collaborate with engineers and product managers, and optimize application performance. Prior experience with modern frameworks and design tools is essential.

The Sr. Engineering Manager for DBSQL AI at Databricks will lead a distributed engineering team to innovate and enhance the data and AI infrastructure by integrating ML/AI into SQL workloads. Responsibilities include recruitment, team organization, product execution, and aligning goals with organizational priorities.

Manager of Generative AI team responsible for managing and leading researchers and engineers. Leverage expertise in LLMs and generative models to create AI roadmap. Work on cutting-edge technologies and collaborate with professionals.

The Engineering Manager will lead the AI Platform team, focusing on building and deploying innovative AI systems while collaborating cross-functionally to fulfill user needs. Responsibilities include team management, system architecture, and improving product workflows.

The Engineering Manager will lead the AI Platform team, focusing on building innovative systems to empower users in developing AI with their data. Responsibilities include team management, architecture design, and collaboration with cross-functional teams to enhance the Snorkel Flow platform and improve customer labeling quality.

The Principal Software Engineer will lead the development of Generative AI solutions, collaborating with data scientists and software teams to ensure scalable and robust software delivery. The role involves technical leadership in building web applications, deploying services on AWS, and maintaining high-quality engineering practices.

The Senior Software Engineer will focus on developing innovative AI solutions for Wood Mackenzie’s products, collaborating with data scientists and product managers. Responsibilities include designing solutions, writing maintainable code, leading projects, building CI/CD pipelines, and ensuring high-quality implementation of the product roadmap.

The AI Scientist role at Trek involves leading AI projects focused on implementing multimodal generative AI methods on embedded hardware products. Responsibilities include collaborating with engineers to define performance targets, developing and optimizing AI models, deploying models, and providing R&D support for product development teams. The role emphasizes the use of large language models and machine learning techniques to derive consumer insights and improve products.