Top Remote Artificial Intelligence Engineer Jobs in Boston, MA

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

The Senior AI Engineer will design and build user experiences using Generative AI, mentor teammates, and lead technical decisions in the BigFuture Student team.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

The AI Engineer will design and implement intelligent agent architectures, supervise technical solutions, and collaborate with multiple teams to address business needs.

The Senior Applied AI Engineer will architect and develop backend systems for AI applications, ensuring scalability and integration with LLM APIs while collaborating with product and engineering teams.

The AI Engineer designs, builds, and deploys AI systems focusing on Azure OpenAI and generative modeling, supporting innovation initiatives across clinical operations.

The Senior AI Engineer will develop AI-powered solutions to extract structured data from unstructured medical charts, focusing on efficiency, accuracy, and integration with real-world applications.

The Senior AI Engineer will lead the development of a scalable AI platform, creating architecture, AI/ML operations, and mentoring teams while ensuring security and ethical AI practices.

The AI Engineer II will develop and deploy machine learning solutions in healthcare, mentor junior staff, and work on complex data analytics to improve patient care and operational efficiencies.

The AI Engineer will architect, build, and operationalize generative AI and ML solutions, design end-to-end pipelines, and mentor engineers, focusing on scalable data workflows and production-readiness.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead technical design and implementation of AI solutions, integrating AI into GTM workflows and ensuring compliance with standards, while collaborating with various teams.

As a Forward Deployed AI Engineer, you'll architect and deploy AI solutions in diverse environments, ensuring secure and rapid software delivery for defense initiatives while liaising with technical and non-technical stakeholders.

The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.

The role involves researching and implementing initiatives in natural language processing (NLP), text-to-speech (TTS), and computer vision for image generation, aiming to develop advanced AI speech models.

The Software Engineer will develop voice AI features, enhance LLM model performance, build infrastructure, and collaborate with teams and customers to improve the voice AI platform.

As a Software Engineer on the AI Products Team, you will develop new features and improve LLM model results while engaging with customers and shaping team culture.

As an AI Engineer, lead the design and implementation of AI solutions in life sciences, focusing on model development, explainability, and collaboration with product teams to improve processing of complex data.

Lead the design and delivery of agentic systems, integrating enterprise tools and data while ensuring security and compliance. Collaborate with clients to optimize business workflows and develop reusable components.

The Staff AI Engineer will develop generative AI systems for real estate and insurance, ensuring operational efficiency and regulatory compliance while collaborating cross-functionally.

Design and implement user-facing interactions for AI products, collaborating with PMs and Designers, and integrating agentic workflows into MedTech software solutions.

As a Sr. AI Engineer, you will develop AI capabilities, optimize model behaviors, train agentic models, and ensure production-ready code while collaborating with engineering teams.