Top AI Engineer Jobs

The Senior Software Engineer will develop and maintain software platforms, enhance operational efficiency, and lead initiatives in AI Ops and automation while collaborating with tech teams and juniors.

Lead the development of AI compiler tools, enhance performance analysis, collaborate with hardware teams, and mentor engineers to improve compiler tooling.

As a Senior Software Engineer, you'll lead software development projects, collaborate with teams, ensure solution quality, and support operational processes. You'll utilize expertise in Dynamics365, cloud services, and full stack development to modernize customer experiences.

Join the R&D Excellence Centers at VIAVI in a rotational program to develop skills in innovative software and hardware solutions while collaborating in teams.

Lead the development of an AI-powered analytics platform focusing on data systems, ML, and natural language interfaces to enhance cloud security.

As a Software Engineer for AI Engine at Topaz Labs, you will optimize performance, enhance app stability, and improve API while supporting Deep Learning research and hardware partners.

The Full Stack Developer will implement OpenAI and GPT-3 tools to develop processes for creating content and editing media for podcasts.

The role involves implementing and optimizing AI workloads, providing customer support, managing infrastructure, and optimizing performance in AI implementations.

Design, develop, and maintain web applications and APIs, ensuring scalability and performance, while utilizing AI-assisted coding tools.

Develop and maintain high-performance Python-based backend APIs, ensuring robust data management and collaborating with various teams to enhance cybersecurity products.

The role involves designing AI systems, developing AI agents, evaluating performance, and collaborating with teams, leveraging Python and various tools.

As an AI QA & Infrastructure Engineer, you'll design and execute test plans, maintain testing environments, track quality metrics, and improve QA processes for Aidaly's products.

As a Lead Software Engineer, you'll architect and develop full-stack solutions, lead design discussions, manage projects, and mentor junior engineers.

Design and implement ML compilers, optimize for deep learning applications, collaborate on hardware integration, and contribute to documentation.

The Software Engineer (Full Stack) will develop and deploy clinical AI/ML products, ensuring product quality and collaborating with cross-functional teams.

As a Principal Full Stack Engineer, you will shape the architecture of the Atlas AI platform, build user-friendly interfaces, mentor engineers, and implement AI capabilities across product offerings.

Lead the development of AI tools to enhance operational efficiency and member experience at BECU, collaborating across functions and mentoring engineers.

The Senior Software Engineer will develop and maintain the AI Platform, facilitating AI/ML workflows, deploying models, and streamlining processes.

As a Forward Deployed Engineer, you'll collaborate with robotics teams to implement solutions, improve products, and create technical resources, requiring deep technical expertise and customer engagement skills.

Lead development of AI-native applications as a Sr. Staff Software Engineer, overseeing architecture, mentoring teams, and driving project delivery.

The Cognitive Knowledge Engineer will design and implement AI systems using LLMs and retrieval techniques, optimize workflows, and collaborate with teams to enhance data retrieval and contextual information generation.

Design and manage scalable AI infrastructure, ensuring reliability and performance. Engage in the full lifecycle of cloud services and support production systems.

The Senior Machine Learning Engineer will design and develop ML models for 3D assets, integrating AI into creator tools while collaborating with engineering and creative teams.

Contribute to drug discovery and chemistry simulation platform development, collaborate with R&D teams, and build infrastructure for simulation and data platforms.

Lead the design and integration of AI-driven features for Spot AI's products, transforming video data into actionable insights to improve safety and operations for various businesses.