Top Remote Artificial Intelligence Engineer Jobs in Boston, MA

As a Cloud Software Engineer at CrowdStrike, you will develop scalable cloud solutions, innovate with Large Language Models, and maintain data pipelines while ensuring high coding quality and collaborating with teams.

As a Backend Engineer, develop and enhance cloud microservices, implement solutions for cyber threats, and work with Large Language Models while collaborating across teams.

The Sr. AI Agent Developer will design, develop, and implement AI agent solutions that enhance enterprise workflows and integrate seamlessly into business processes while collaborating with various teams.

The Software Engineer III will focus on leveraging Generative AI for patient solutions, enhancing voice AI agents, and managing technical projects while mentoring peers.

As a Staff AI Engineer, you will lead the development of AI voice agents, mentor engineers, and drive projects integrating founding models while collaborating with various teams.

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.

The Lead AI Engineer will develop and deploy AI-powered solutions, build APIs, and collaborate on machine learning models while maintaining data pipelines and API performance.

Develop and deploy AI-powered solutions, collaborating with data scientists and engineers on data pipelines, APIs, and models. Stay current with AI advancements.

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

Lead the development of AI solutions on the Salesforce platform to optimize business operations, automate workflows, and enhance organizational efficiency through generative AI.

Lead the design and development of AI systems, architect APIs, mentor engineers, and drive improvements in healthcare delivery using AI technologies.

Lead a team of AI and ML engineers in developing scalable solutions, collaborating with various teams to integrate models, ensure compliance, and drive innovation in AI technologies.

Seeking a Senior Mobile Engineer to develop iOS and Android apps, enhance AI-enabled mental health experiences, and shape engineering practices.

The AI Engineer will design, develop, and deploy AI/ML solutions, maintain AI systems, and collaborate with teams to improve legal services through technology.

The Staff Applied AI Engineer will develop AI solutions for geospatial imagery using advanced models, manage workflows, and collaborate with research teams across various domains.

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

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

Lead the design and deployment of AI applications, collaborating with teams to integrate LLM models and ensure performance metrics are met, while fostering continuous improvement.

As a Staff AI Engineer, you will lead AI development, design systems for complex data problems, ensure operational excellence, mentor peers, and contribute to team growth.

Lead the AI development at HouseAccount by designing, prototyping, and deploying intelligent systems that automate home services. Collaborate with product and growth teams to enhance workflow efficiency using AI technologies and frameworks.

As a Staff Engineer, you will shape the technical direction of the platform, mentor engineers, and design scalable systems across frontend, backend, and infrastructure layers.

As a Senior AI Engineer at Docker, you'll enhance the Ask Gordon AI assistant, improve RAG systems, and develop evaluation frameworks while collaborating with teams to optimize AI capabilities for developers.

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.

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

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.