Top Remote AI Engineer Jobs

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.

As a Data Engineer, you'll build and enhance data solutions for insurance, managing data infrastructure and collaborating with teams to ensure data integrity while leveraging SQL and cloud technologies.

As a Staff AI Engineer, you will develop and maintain AI capabilities in software, focusing on an AI-based voice agent for healthcare. You will collaborate with talented engineers and contribute to consumer-facing products.

As an AI Engineer, you'll develop AI solutions, integrate them into products, conduct model evaluations, and collaborate with teams.

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

As a Conversational AI Developer, you'll design and test AI tools for contact centers and integrate AI functionalities, collaborating in an Agile environment.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Lead AI product initiatives on Edge devices, optimize ML models for Edge compute constraints, and develop AI solutions using petabyte-scale data.

As a Principle Engineer at Atlassian, you will be responsible for designing and developing engineering solutions, leading teams, and ensuring high-quality standards in engineering processes.

As an AI Integration Engineer, you will integrate AI models into products, collaborate with data science teams, and enhance user experience.

The role involves building infrastructure and tools for AI-driven developer workflows, integrating AI agents with dev tools, and delivering SDKs and APIs for enhanced productivity.

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 an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

The role involves developing AI tools, managing the development lifecycle, collaborating on data integration, and educating end-users.

The Senior Software Engineer will own quarterly goals, lead the team through challenges, collaborate on product development, and ensure code quality, while also fostering team growth.

As a Senior Staff Software Engineer, you will architect AI-powered solutions, focusing on scalable AI systems, LLMs, and knowledge graphs while delivering production-grade applications and mentoring fellow engineers.

The Senior Machine Learning Engineer will develop AI workflows, collaborate with teams on models and pipelines, conduct research, mentor junior members, and innovate solutions for healthcare.

Lead and manage a team of machine learning engineers to develop AI-driven tools for clinicians, ensuring project success and team growth.

The role involves developing AI-powered software products for detecting unsafe driving behaviors, collaborating with teams, and scaling solutions. Candidates should have strong communication skills and a growth mindset.

As a Staff AI Engineer, you'll design and implement AI systems, develop APIs, and mentor engineers, collaborating with teams for impactful automation in advertising.

The role involves architecting and managing hybrid infrastructure for AI/ML, focusing on Kubernetes, AWS, and Infrastructure-as-Code practices.

Lead the development and implementation of machine learning algorithms, guiding teams and ensuring effective AI integration across Atlassian products.

The role involves designing and building AI features for Dropbox's core experience, collaborating across teams, and developing user journeys.

Lead DevOps initiatives for AI infrastructure, manage Kubernetes orchestration, develop AI use cases, partner with security, and engage with customers.

Lead AI/DevOps Engineer focused on managing AI infrastructure, driving customer experience strategies, and ensuring compliance with best practices while collaborating with teams to optimize resources.