Top AI Engineer Jobs

The Generative AI Engineer will develop AI-driven features for medical records, collaborating with teams to create systems extracting and generating clinical insights from EHR data, while ensuring accuracy and clinical relevance.

Lead the design and deployment of machine learning models, develop large language models, design data pipelines, and provide technical mentorship.

As a Senior AI Engineer, you will design and implement AI solutions, collaborate with teams to define success metrics, and iterate on AI model performance.

As a Senior Applied AI Engineer, you will develop AI-driven learning tools focusing on personalization, ranking systems, and generative AI, while collaborating with product design and data science teams.

As an Applied AI Engineer at Quizlet, you will develop and implement AI-driven learning tools focused on personalization and generative AI, collaborate with cross-functional teams, and ensure quality and performance in ML systems.

Lead development of a scalable AI tutoring system: build prompt architectures and agentic workflows, run experiments and custom evaluations, integrate models into production, ensure safety and observability, prototype novel model interactions, and collaborate with educators and product teams to translate pedagogical goals into robust technical solutions.

Design, build, and productionize the core AI tutoring system: prompt architectures, agentic workflows, evaluation frameworks, and scalable integrations. Run experiments, ensure safety and observability, and collaborate with product and education teams to improve learning outcomes.

Lead development of a real-time, adaptive AI tutoring system: design prompt architectures and agent workflows, build scalable production integrations, run rigorous experiments and custom evaluations, ensure safety and observability, and collaborate with educators and product teams to prototype and productionize novel model interactions.

As an AI Engineer, develop scalable AI tools and cloud-based systems, collaborate with marketers, and document technical processes at HubSpot.

Lead AI platform architecture, design microservices and REST APIs, mentor engineers, and drive Agile practices for AI systems at scale.

The AI Engineer will build AI-powered systems to improve workflows for healthcare businesses, focusing on agentic coding and automating processes while collaborating with non-technical teams.

Lead end-to-end IFS Cloud architecture and integrations, design AI-augmented solutions (forecasting, scheduling, anomaly detection), define extension and environment strategies, ensure security/resilience, and align IFS data with enterprise BI/ML initiatives while partnering with stakeholders.

The AI Engineer role focuses on enhancing applied AI systems, developing tools for LLM applications, and optimizing workflows while collaborating with the product team.

As an AI Engineer, you'll design and deploy AI agents, optimize AI integration, and contribute to the AI/ML lifecycle to enhance product capabilities.

Design and implement advanced AI/ML models and systems to enhance various applications, while optimizing existing models for performance and efficiency.

The role involves design and development of data solutions using Azure tools, integrating Generative AI, and mentoring junior engineers.

The Staff Software Engineer will design and maintain ML inference runtimes, lead architectural initiatives, and collaborate with teams to optimize system performance and scalability.

The Developer Experience Engineer will improve developer experience by modernizing tools, building AI-powered systems, and accelerating product delivery at Kustomer.

The role involves designing and operating AI systems, building data pipelines, fine-tuning models, and mentoring team members while collaborating with product and data science teams.

Design and implement scalable microservices for AI Detection and Response. Collaborate on issues, code reviews, and mentor team members in secure coding practices.

Lead development of autonomous AI systems and multi-agent workflows. Design, implement, and ensure safe agentic solutions for enterprise services.

As an Applied AI Engineer at Snorkel, you'll design and implement AI solutions using state-of-the-art techniques to solve customer challenges and enhance the Snorkel platform.

As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.

As an AI Engineer at ResortPass, you'll design and deploy AI systems, build ML infrastructure, and integrate AI into a Rails backend, enhancing guest experiences and workflows with advanced technologies.

The AI Engineer will deploy AI solutions at scale, focusing on LLM applications, AIOps, and data engineering, collaborating closely with teams to operationalize AI capabilities.