Top AI Engineer Jobs

Design, build and deploy cloud-native applications on AWS; improve developer productivity through AI; contribute to architecture and standards in a collaborative team.

Design and build core services for AI products, implement compliance guardrails, debug fullstack issues, and participate in code reviews.

Design and implement scalable ML infrastructure solutions, mentor junior engineers, own technical projects, and collaborate across teams to solve complex AI/ML problems.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The Principal AI/ML Engineer will lead the AV ML Infra team at GM, focusing on developing scalable ML infrastructure and guiding cross-functional collaboration while driving technical projects from inception to completion.

Design and implement automations and AI integrations within HR technology, focusing on systems like Moveworks and Workday HCM. Collaborate with stakeholders to ensure technical alignment with HR goals.

The Staff AI/ML Engineer will design and implement scalable ML infrastructure solutions, lead projects, mentor peers, and enhance ML productivity at GM.

The Senior AI Engineer will develop LLM-powered AI systems, build RAG pipelines, and solve complex information retrieval problems while collaborating cross-functionally to enhance Affinity's CRM platform.

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.