Top Remote Artificial Intelligence Engineer Jobs in Boston, MA

Responsible for owning and executing digital demand generation strategy, leading multi-channel initiatives, optimizing campaigns, and driving revenue growth through analytics and cross-functional collaboration.

The Staff AI Engineer will design and build TaskRay's AI platform, focusing on architectures for various internal and external AI agents, while establishing engineering standards and mentoring team members.

The Senior AI Engineer will build production agent capabilities, partner with design customers, develop LLM features, and maintain system integrations within the AI platform.

Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.

The Senior AI Engineer at RegScale designs and operates AI systems, ensuring reliability and performance while overseeing the data pipeline and compliance integration, alongside improving AI capabilities across the engineering organization.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

Senior individual contributor responsible for designing and delivering production AI solutions (LLM services, RAG, document intelligence) using AWS native technologies. Build LLM-enabled APIs, vector search pipelines, and cloud-native, serverless integrations; ensure CI/CD, observability, security, and compliance. Provide technical leadership, mentor engineers, collaborate with platform and product teams, and contribute reusable AI patterns and reference implementations.

The Senior Software Engineer will develop AI-powered workflows and internal tools, ensuring integration with sales and operational systems, while collaborating with various teams to enhance efficiency and automation.

The AI Engineer (GTM) will architect AI systems to enhance go-to-market operations, automating workflows, improving marketing and sales efficiency, and supporting customer growth strategies.

Build production-ready intelligent automations and agentic AI solutions. Full-stack development using TypeScript or Python, LangChain, vector DBs, RAG, and tool-calling. Collaborate with clients, ensure maintainable, tested, scalable deployments, CI/CD, observability, and model fine-tuning or deployment.

As a Forward Deployed AI Engineer, you will architect, build, and deploy Generative AI systems while working closely with customers to ensure mission success. Your role involves mission-driven software delivery, collaborating with various stakeholders, and defining solution roadmaps.

The Principal AI Engineer leads implementation work in the AI Innovation Lab, focusing on building technical infrastructure, developing AI prototypes, and establishing best practices in a cloud environment.

Design and build LLM-powered agents for hardware product development. Responsibilities include ensuring effective coordination among engineering disciplines and integrating AI systems with existing tools.

As an AI Operations Engineer, you will identify AI opportunities, build internal AI solutions, maintain operations, and ensure compliance, working closely with business leaders and IT.

Design and prototype LLM- and agent-based workflows (RAG, tool-calling), build reusable connectors and agent templates, integrate data science models, define clean API boundaries, implement lightweight evaluation/logging, and collaborate with data science and leadership to operationalize AI systems.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Client-facing AI engineer who develops and deploys generative AI/LLM solutions, collaborates with data scientists and engineers, leads cross-functional projects, and delivers technical solutions and presentations to clients.

The Senior Gen AI Engineer will design AI agents, build knowledge graphs, implement retrieval-augmented pipelines, and integrate data sources to enhance AI systems.

The Senior Software Engineer, Voice AI will enhance the Voice AI stack, design cutting-edge solutions, boost product quality, and drive collaboration across teams to improve user experiences.

The ML/AI Engineer will develop and deploy machine learning models, design data pipelines, support AI tools, and build digital twins, collaborating with cross-functional teams.

Lead the development of AI/ML systems for document processing, mentor engineering teams, and implement advanced machine learning solutions focused on language models and data extraction.

As a Senior AI Engineer at Knotch, you will develop AI agents for workflow automation, design backend and frontend services, and collaborate with teams to integrate AI into products. Your role includes optimizing systems for performance and ensuring agent safety and governance.

Design, develop, and deploy AI/ML solutions—especially generative and agentic AI—build LLM and RAG architectures, implement MLOps pipelines, prototype PoCs, and integrate models into production using cloud, containerization, and CI/CD practices while collaborating across teams.

Design and build autonomous, enterprise-grounded AI agents and workflows using the Elastic Stack, RAG, and LLMs. Integrate models with internal APIs and SaaS, manage deployment and scaling on cloud/Kubernetes, ensure security/compliance, document systems, and provide technical leadership for agent lifecycle and performance optimization.

The AI Engineer will develop AI-driven marketing tools, building APIs, data pipelines, and collaborating with teams to innovate. Requires experience in software development and generative AI concepts.