Top AI Engineer Jobs

As a Software Engineer in AI, you'll own projects, enhance the platform for high traffic, collaborate with product teams, and leverage AI engineering expertise.

Design and implement core functionalities for a large-scale web application focusing on architectural planning and full-stack features development. Collaborate with senior engineers and ensure clear communication while breaking work into manageable pieces.

Develop and implement an internal AI agent platform and create over 50 AI agents to automate various workflows at Imprint.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

As a Senior Software Engineer in Agentic AI, you will develop AI-driven software translation tools, design workflows, and collaborate with specialists to enhance code generation pipelines.

The AI/ML Full Stack Engineer will design and maintain applications for predictive insights, develop data pipelines, implement ML models, and collaborate cross-functionally.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

Lead design and delivery of AI products, driving technical strategy and architecture while building production-grade systems and mentoring teams. Collaborate cross-functionally to integrate AI features into a product ecosystem.

The Senior Digital Design Engineer will design and implement digital designs for high-performance connectivity solutions, collaborating across teams for successful product delivery.

The Principal Digital Design Engineer will architect and implement complex digital designs for connectivity solutions, oversee micro-architecture and RTL implementation, and mentor junior engineers.

As a Consulting Systems Engineer, you will lead technical pre-sales, design AI and data solutions, and engage with customers to define integrated technology solutions.

The Senior Software Engineer at GEICO will design and enhance systems, develop technical strategies, and lead projects while ensuring quality and performance standards.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

Lead AI engineering initiatives, develop AI systems, integrate LLMs, mentor teams, and collaborate on business requirements within agile frameworks.

The Staff Software Engineer, AI/ML Focus will lead AI product development, ensure system reliability and security, and collaborate with cross-functional teams to innovate tools and products.

We seek an AI Research Scientist/Engineer to apply AI techniques in healthcare, focusing on biological simulations and data analysis for NIH-funded projects.

Develop applications for machine learning and generative AI technologies, automate data analysis, and collaborate on prototyping solutions for semiconductor testing.

The Solutions Architect will guide partners in leveraging OpenAI API and ChatGPT, ensuring high-impact integrations and providing technical support for applications and commerce experiences.

Design, develop, and maintain full-stack applications; lead technical discussions, mentor junior members, and improve products and technologies.

As the first Developer Advocate at Encord, you will educate the community, create technical content, and engage in ML/CV networks and events.

The Deployment Engineer will manage AI inference clusters, optimizing deployment, capacity allocation, and ensuring reliability of pipeline operations across datacenters.

The Senior AI Software Engineer will design and optimize inference engines in C++, focusing on performance for on-device Apple applications, and implement advanced machine learning architectures.

Provide L1 technical support for enterprise customers, resolving technical issues, collaborating with engineering, and improving customer experience.

Lead the design and deployment of advanced AI/ML systems, mentor teams, establish MLOps best practices, and evaluate emerging AI methodologies.

As an AI-Driven UI/UX Developer, you will design, develop, and implement human-centered interfaces, collaborating with AI agents to enhance user experience and performance in applications built with Vue.js and ReactJS.