Top Remote Artificial Intelligence Engineer Jobs in Boston, MA

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

As an AI Engineer III, you will design and improve AI-driven product features to enhance patient billing clarity and workflows in healthcare.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

The Principal AI Engineer will lead the design and implementation of scalable AI systems in mental healthcare, ensuring safety and reliability while making AI useful in clinical contexts.

AI Engineers at Hex will build AI experiences, manage search and context architecture, and work on scalable AI applications. Responsibilities include running experiments, developing infrastructure, and leading initiatives for new capabilities.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

Lead development of production-grade generative AI applications, collaborate with cross-functional teams, and build tools for sales efficiency and customer engagement.

The role involves designing, building, and maintaining cloud infrastructure for AI/ML workloads, collaborating with stakeholders, and developing AI solutions using various technologies.

The AI Engineer Trainee Program offers hands-on experience in AI product development, focusing on LLMs, prompt engineering, and backend development. Trainees will work with AI coding tools and frameworks while developing scalable applications.

The Staff AI Engineer will design, implement, and maintain machine learning algorithms and systems, integrating AI components into applications and collaborating with cross-functional teams using cloud technologies and DevOps principles.

As a Staff AI Engineer at Rula, you'll design and scale AI systems for mental healthcare, focusing on generative AI and improving patient outcomes through safe and reliable technology.

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

As a Senior Full Stack Engineer on the AI Tasks team at Zapier, you'll design and build user-friendly AI features, collaborate with cross-functional teams, and own projects from inception to deployment, with a focus on creating real-world applications of AI in automation.

As a Senior Backend Engineer, you'll build features for AI integration, measure productivity changes, and support production operations in a SaaS environment.

Seeking a Senior Backend Engineer to develop backend systems for a Native AI platform, focusing on API design, data integration, and production software systems using Python and Django.

The Senior Backend Engineer, AI Systems will design features for a SaaS environment, manage complex data, and work with AI models. Responsibilities include implementation, support for production, and collaboration within an agile team.

As a Senior Staff Machine Learning Engineer, you'll build production models, improve machine learning features, and ensure data infrastructure for fraud detection and more. You'll leverage your extensive experience in machine learning and collaborate to drive product intelligence.

Design, build, and maintain scalable software systems for Zocdoc's AI Phone Assistant, integrating AI workflows, leading system optimization, and collaborating across teams to enhance healthcare communication.

This role involves designing and building advanced ML models to protect against fraud and enhance user experience while mentoring lower-level engineers and influencing technical roadmaps.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.