Top AI Engineer Jobs

The Principal AI/Machine Learning Engineer will lead the adoption of AI/ML in manufacturing by defining use cases, driving implementation, and ensuring organizational readiness.

As a Forward Deployed Strategist, you will engage with university clients to solve challenges using data and AI, managing delivery of projects from start to finish.

As an Applied AI Engineer, you will enhance our compliance automation platform by designing and building AI-driven solutions, collaborating across engineering and legal teams, and optimizing performance and accuracy in response to regulatory demands.

As an AI/ML Engineer Intern, you will apply AI to enhance restaurant discovery experiences by analyzing data, building models, and collaborating with teams.

The Junior Web Developer will create and optimize landing pages and funnels, implement tracking, work with AI tools, and collaborate with teams.

Design, develop, and maintain scalable RESTful APIs for generative AI-powered Android applications, optimizing performance and collaborating with teams.

As a Founding Member of Technical Staff, develop and deploy AI systems, lead ML design and workflows, and ensure business impact through scalable AI solutions.

As a Senior Software Engineer, you will design and build AI-powered development tools, optimize LLMs, and collaborate on advanced AI workflows.

Join OPPO as an AI/LLM Test Engineer to evaluate and test the performance of Large Language Models, develop automated test frameworks, and collaborate on AI quality assurance and ethics. The contractor role supports LLM evaluation and validation with focus on automation and performance testing.

Design and implement AI agents for mission planning and orchestration across autonomous systems, focusing on LLM frameworks and edge computing.

As an AI/ML Engineer, you'll develop data/ML pipelines, analyze unstructured data, and contribute broadly to product development.

The Senior Software Engineer will develop end-to-end products for Ambient AI, work across the software stack, and engage with customers to address their needs, focusing on fast execution and growth.

The Backend Engineer will contribute to building Ambient AI solutions, scale infrastructure, design AI pipelines, and collaborate closely with engineering and product teams to enhance model deployment and performance.

The Senior Backend Engineer will contribute to healthcare platform development, scale infrastructure, work across the software stack, and support customers. Requires strong Python skills and experience in building production environments.

Build end-to-end Ambient AI products for healthcare, work across the software stack, and engage directly with customers to resolve issues.

The role involves applying AI and ML to improve healthcare billing processes. Responsibilities include scaling products, innovating AI strategies, and building AI infrastructure to optimize operations.

As a Lead AI/ML Engineer, you'll develop LLM-powered investment research tools, optimize ML models, and engage with clients to enhance product offerings.

The GTM Engineer at Vanta will automate workflows, build AI-driven solutions, and partner with leadership to optimize business operations in marketing, sales, and customer success.

As a Senior Software Engineer, you'll develop AI-powered tools, manage complex databases, optimize application performance, and lead technical decisions.

Lead engineering best practices and develop scalable AI-driven applications and data pipelines while mentoring other engineers. Analyze complex problems and deliver impactful AI products.

The AI Systems Engineer will design and implement AI solutions, integrate AI models with systems, and provide advanced support for AI services.

The role involves architecting and implementing scalable AI services, enhancing system reliability, and collaborating on software architecture for AI-driven search features.

Lead the design and delivery of large-scale solutions in Generative AI and Big Data, while mentoring teams and driving innovation.

As a Principal Engineer, you'll lead the design and implementation of AI systems, influencing architecture and guiding teams while ensuring reliable and explainable AI solutions.

The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.