Top AI Engineer Jobs

Join as a founding engineer to build a proactive AI mentor. Design memory systems, adaptive interfaces, and evaluate AI behavior change, directly impacting user growth.

As a Founding Engineer at Fig AI, you'll build AI agents for food manufacturers, architecting systems, and develop products from idea to execution.

Join V7 as an AI Solutions Engineer to design no-code AI workflows for enterprise clients, leveraging Python and LLMs for data integration.

As the second engineer, you will build backend systems for browser automation, collaborate with founders, and design secure authentication processes.

As a Full-Stack Software Engineer, you'll develop features for a voice AI platform, integrating various 3rd party systems and enhancing the user experience.

The Founding Engineer will design and scale distributed backend systems, create robust evaluation infrastructures for RL training, and collaborate with AI researchers.

As a Full Stack Software Engineer, you'll create AI-driven solutions, managing all stages from architecture to deployment, enhancing industry workflows.

Lead NVIDIA's storage strategy for AI Cloud, focusing on high-performance storage solutions for critical workloads, mentoring engineers, and influencing technical direction across teams and external partners.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

As a Principal Software Engineer, you'll design and deploy ML-powered tools, build scalable backend systems, and engage with clients for AI solutions. You'll work on R&D for innovative tools and manage cloud operations to support ML models.

Responsible for developing and maintaining software solutions in a collaborative environment. Build reusable components, mentor team members, and architect production-grade applications using various technologies. Ensure system reliability and performance, while driving technical decisions through collaboration.

Design, build, and operate core systems for autonomous agents, focusing on reliability, security, and engineering effective agentic workflows and integrations for enterprise environments.

The Principal AI Systems Engineer will architect and evolve Kindo's agent platform for automating DevOps and SecOps workflows, focusing on AI-native systems engineering, reliability, and security.

You will define and build systems for autonomous agents to operate reliably in production, focusing on architectures, integrations, and security. Responsibilities include innovative system design, experimentation, and managing production-level reliability and security for enterprise-scale applications.

The Principal AI Platform Engineer will architect and build AI platforms for certification workflows, integrating tools and ensuring security, stability, and scalability while mentoring other engineers.

As a Staff Software Engineer, you will design, develop, and maintain cloud-native solutions, ensuring code quality and collaborating with teams to build scalable software solutions using modern technologies.

The role focuses on AI applied engineering, integrating AI into existing workflows, building automation and tools, and improving team efficiency. It requires strong engineering skills and an understanding of user workflows.

The role involves building and maintaining AI infrastructure, optimizing training performance, and developing tools for robot training and data workflows.

Design and develop full stack applications, integrate AI models, manage APIs, optimize performance, and collaborate with AI/ML teams.

Design and implement microservices-based applications, collaborate in Agile teams, and apply AI tools for enhancing system reliability in national air traffic operations.

The Principal Systems Engineer will provide systems engineering and project management for AI/ML architectures, coordinate program management activities, and improve processes within an agile development environment.

The Staff MLOps Engineer will own the AI/ML platform, focusing on the Synthetic Data Platform, overseeing the ML lifecycle, building infrastructure, and mentoring engineering teams while ensuring cost-effectiveness and system performance.

As a Senior Engineer, you'll design and build AI-powered software and production systems, focusing on LLMs and performance optimization, while collaborating with a multidisciplinary team to drive innovation and responsible AI governance.

The Principal Engineer will lead the design and development of technical solutions, oversee project teams, and maintain existing solutions, focusing on APIs and innovative technology applications.

Design, develop, and maintain scalable AI/ML systems and end-to-end pipelines (data preprocessing, model training, prompt engineering). Collaborate cross-functionally, optimize model performance, ensure fairness and security, monitor production systems, troubleshoot issues, mentor junior engineers, and recommend improvements to data infrastructure and tooling.