Top Artificial Intelligence Engineer Jobs in Boston, MA

The Senior Lead AI Engineer will design and develop AI-driven products, enhance scalable AI systems, and collaborate with cross-functional teams.

As a Senior Software Engineer at WHOOP, you will develop backend features, collaborate with teams, mentor junior engineers, and enhance member-facing AI-driven tools.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Principal AI Engineer will design and deliver generative AI solutions, optimize AI systems, and lead best practices in quality and safety within a collaborative environment.

The AI Engineer is responsible for designing and implementing AI systems and data pipelines to enhance university operations by automating processes and integrating AI into existing systems.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.

Lead Data & AI Engineer responsible for architecting and implementing intelligent analytics for a surveillance cloud platform, requiring strong skills in data pipelines, AI model management, and modern cloud technologies.

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 role involves designing and implementing AI solutions, collaborating with customers to build scalable AI applications, and providing technical leadership within MongoDB's AI Practice.

The Robotics Research AI Engineer will develop algorithms for robot learning, advance robotics foundation models, and deploy large-scale training pipelines. They will integrate various learning methods, work on real-world applications, and contribute to robotics research.

Lead AI Engineer will develop AI systems for a multiplayer game, overseeing technical strategy, team mentorship, and collaboration across departments, ensuring high-quality, innovative gameplay.

As a Staff Software Engineer, you will enhance developer productivity by establishing AI-driven tools, improving processes, and mentoring teams on AI integration and best practices.

The AI Developer designs, builds, and delivers AI solutions. Responsibilities include developing MVPs, integrating data and models, and collaborating with teams to solve complex problems through AI.

As a Software Engineer II on the AI Platform team, you'll develop backend features, build scalable services, and collaborate across teams to integrate Generative AI into WHOOP’s product offerings.

As a Senior Software Engineer on the AI Platform team, you will design and scale systems for WHOOP's Generative AI capabilities, focusing on robust backend services and tools, collaborating across teams, and mentoring junior engineers.

As a Junior Software Engineer, work with a team to design, build, and maintain AI services for software development, focusing on back-end and front-end integration, code quality, and user experience.

As a Junior Software Engineer, you will build and maintain AI-powered back-end services, contribute to code quality, and collaborate with a team to enhance user product experience.

Lead design and deployment of AI systems, develop agentic components, optimize performance, and mentor others in AI Engineering.

The role involves developing AI-focused IDE experiences, integrating LLM tools, and enhancing developer productivity through innovative UI and backend systems.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

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.

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.

Lead the LLM as a Service team to innovate customer experiences, manage scalable AI infrastructure with Kubernetes, and collaborate with security teams to comply with standards.

As a Senior Software Engineer, you will build and maintain production-grade systems, drive AI automation projects, and collaborate with engineering teams on backend development using modern technologies.

Lead AI initiatives across Coinbase by identifying opportunities for automation, designing solutions, and driving adoption in various non-engineering functions while ensuring responsible AI usage.