Top Artificial Intelligence Engineer Jobs in Boston, MA

The Applied AI Engineer will develop systems and tools for AI integration, designing backend architecture and APIs, and collaborating across teams to implement AI solutions.

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

As a Senior Generative AI Engineer, you'll develop AI-powered solutions across sales, customer success, and finance, leveraging advanced AI techniques to enhance workflows and drive innovation in ad tech.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

Lead a team of developers to deliver AI-driven data solutions, utilizing AWS, Python, SQL, and big data technologies while collaborating across Agile teams.

Develop innovative software solutions, mentor junior team members, and analyze project requirements in a collaborative environment focused on digital transformation.

Lead software engineering projects and mentor junior staff while delivering innovative solutions. Oversee large-scale systems and enhance operational processes.

The role involves leading software engineering teams, developing large-scale data processing systems, mentoring junior staff, and ensuring project success. You will leverage programming languages and technologies like Java and Python, embracing innovation and technology to enhance delivery.

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 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.

The Lead Data Engineer will design and implement AI-powered solutions, collaborate with cross-functional teams, and optimize data processing pipelines.

As a Software Engineer II focused on AI Tooling, you'll develop AI systems and tools, build APIs, and integrate models. Collaborate with cross-functional teams to enhance productivity through innovative applications.

As a Junior AI Engineer, you'll develop AI tools for inspection and metrology in semiconductor manufacturing, focusing on data retrieval and integration with internal systems.

Lead the AI team, develop AI solutions for semiconductor processes, enhance tool operations, and mentor engineers. Define strategies and architectures for AI integration.

As a Junior AI Engineer, you'll develop AI assistants for field engineers, creating retrieval systems and connecting AI tools to internal data while collaborating on software development.

The Staff Software Engineer will design, develop, and enhance AI components for Starburst, focusing on building agents for data exploration and collaboration across products.

The Senior Software Engineer will develop a new AI product, leading a team to build services, ensuring high-quality code, and enhancing user experience.

Lead and develop Agentic AI solutions, mentor team members, collaborate on AI applications, and tackle complex challenges in cybersecurity.

The iOS Engineer II will develop scalable Android features, collaborate with teams, optimize app performance, and ensure code quality.

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 Lead/Senior Full Stack AI Engineer will architect and implement AI-driven survey platform integrations and scalable job orchestration systems, using Next.js and TypeScript, and leverage AI tools for enhanced development productivity and data analysis.

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

As a Senior Android Engineer at WHOOP, you will develop Android applications, enhance usability, and collaborate with cross-functional teams to optimize user performance.

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.