Top Software Engineer Jobs

The Lead Data Architect will develop data architecture solutions, engage with technical teams, and ensure high-quality data models using Erwin. Responsibilities include collaborating with stakeholders and optimizing data structures for analytics and AI/ML.

Design optimization strategies for AI and robotic systems, collaborate on AI models, and improve system performance on constrained platforms.

The Sr Manager, AI Solutions will lead a team to develop AI products, manage product roadmaps, and engage with stakeholders to meet business objectives.

As a Software Engineer on the AI Products Team, you'll develop features integrating LLMs, improve AI infrastructure, enhance model performance, and engage with customers to shape user-friendly solutions.

As a Voice AI Agent Software Engineer, you will build and improve AI voice agents for customer support, focusing on voice recognition and interaction systems. You'll collaborate on software development and enhance AI capabilities while working with cross-functional teams.

As a Software Engineer on the AI Products Team, you will build features, improve LLM models, develop infrastructure, engage with customers, and shape team culture.

Lead the AI technical strategy and architecture at Airwallex, focusing on automating complex workflows and building scalable AI systems through reusable patterns and platforms.

Design and build scalable services and APIs for intelligent finance systems using Python and GCP, collaborating with AI engineers for product enhancement.

The Senior Frontend Engineer will build user-facing layers for intelligent financial systems, using Vite, React, and Tailwind while ensuring high usability and performance.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

Develop and maintain a Computer Vision AI platform, enhancing model performance, building tools, and optimally managing compute resources. Collaborate with teams for AI product development, ensuring efficiency and compliance.

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.

Lead the design and deployment of AI-driven workflows, managing development teams and overseeing project execution to enhance voice communication in retail environments.

Lead architecture and development of security features for AI platform, focusing on cryptographic services, identity management, and cross-team collaboration.

Lead the design and delivery of high-impact applications, mentor engineers, and drive technical initiatives while collaborating with cross-functional teams.

The Senior AI Platform Engineer manages Cargill's AI-assistant platform, ensures its performance and compliance, and conducts upgrades and optimization.

As a Software Engineer II on the AI Platform team, you'll develop backend features, build scalable services, and collaborate across teams to integrate Generative AI into WHOOP’s product offerings.

As a Senior Software Engineer on the AI Platform team, you will design and scale systems for WHOOP's Generative AI capabilities, focusing on robust backend services and tools, collaborating across teams, and mentoring junior engineers.

Build and maintain high-quality software for AI-powered solutions, including design, implementation, testing, and mentoring team members.

Lead the design and deployment of AI applications, collaborating with teams to integrate LLM models and ensure performance metrics are met, while fostering continuous improvement.

Lead a team of engineers to develop ML infrastructure for autonomous vehicles, ensuring high-quality standards and fostering team growth.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

As a Platform Engineer, you will build AI and Automation solutions, collaborate with cross-functional teams, and manage serverless architectures using AWS, while ensuring code quality and project delivery.

The Applied AI Engineer will develop systems and tools for AI integration, designing backend architecture and APIs, and collaborating across teams to implement AI solutions.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.