Top Remote Artificial Intelligence Engineer Jobs in Boston, MA

Collaborate to design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems, requiring a strong ML engineering foundation.

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.

The Cloud Technical Support Engineer - Co-op will assist enterprise customers with integrating applications, diagnose issues, validate interoperability with third-party software, and work with R&D and development teams.

As a Staff AI Engineer, you will lead the design and delivery of AI solutions across business functions, focusing on speed and measurable outcomes. You will partner with various stakeholders, drive initiatives from concept to production, and shape technical direction while mentoring junior engineers.

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

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

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

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

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

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.

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.

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

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 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.

As a Senior Software Engineer, you will develop AI-driven tools, automate workflows, and collaborate across teams to enhance productivity. Responsibilities include building infrastructure, deploying AI agents, and optimizing performance for user-friendly solutions.

The Software Engineer will develop AI tools for enhancing developer workflows, utilizing Python, Go, and TypeScript to create autonomous agents, APIs, and SDKs that improve productivity and user experience.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

Lead the design and implementation of AI/ML models for risk and fraud detection at Coinbase. Collaborate with teams to develop scalable systems, mentor engineers, and ensure effective AI/ML solutions align with company goals.

The Staff AI Engineer will build and deploy advanced AI systems, focusing on Large Language Models and intelligent agents, to enhance user productivity and optimize customer journeys through intelligent automation.

Lead the development of AI agents, monitor and optimize their performance, integrate them into workflows, and support company-wide AI initiatives.