Top Remote AI Engineer Jobs

The Director, Enterprise AI will spearhead AI initiatives across the organization, oversee deployment strategies, and drive innovation.

Design and implement AI capabilities, transition prototypes to production, build agent workflows, optimize data retrieval, and automate evaluation processes.

The AI Engineer designs and deploys AI automation tools, partners with teams for workflow automation, and enhances operational efficiency using generative AI and data-driven decision support.

The AI Engineer will design and deploy intelligent systems to automate complex workflows, utilizing various AI frameworks and ensuring reliability and scalability in production environments.

The role involves building and scaling the Enterprise AI Platform at Wasabi, designing AI-powered solutions, implementing scalable services, and ensuring robust data governance.

As a Senior Applied AI Engineer, you will drive AI solutions for public sector challenges, engage in pre- and post-sales processes, prototype innovative solutions, and lead domain knowledge efforts for state and local government agencies.

Design, develop, and deploy AI solutions focusing on Generative AI and autonomous systems. Collaborate with teams to optimize AI pipelines and drive innovation.

The Staff Applied AI Engineer will lead AI-powered product development, focusing on multi-agent systems, workflow automation, and application UI generation, shaping the architectural direction and platform integration.

As a Staff AI Engineer, you'll lead AI product development, overseeing technical direction, system deployment, and model evaluation while collaborating across teams.

As an AI Engineer, you will build and scale AI business applications, focusing on generative AI. Responsibilities include rapid prototyping, applying software engineering best practices, and providing production support.

The Sr. AI Engineer will develop AI solutions for enhancing mental healthcare, leading projects from prototyping to production, and collaborating across teams.

The Senior Product Manager will lead the Developer Experience team to build developer tools, enhance APIs, and engage with the developer community, focusing on AI-assisted development and product growth.

As a Principal AI Engineer, you will design and implement AI models, mentor others, and tackle complex problems in a collaborative team to deliver secure AI solutions for customers.

As an AI Engineer, you will design and implement LLM applications while evaluating GenAI workflows, collaborating with teams to enhance production systems and tools.

As a Senior AI Developer, you'll design and deliver enterprise AI solutions, integrate AI with internal systems, and collaborate with stakeholders to translate business problems into AI applications.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

As an AI Engineer, you'll integrate AI solutions, optimize models, collaborate on technical solutions, and shape the technical direction at Hiya.

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

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

As a Senior Applied AI Engineer, you'll drive AI solutions in the energy sector, engage in customer lifecycle management, lead implementation, and prototype solutions leveraging cutting-edge technologies within the Celonis Process Intelligence platform.

The AI Engineer at NBCUniversal will design, build, and deliver AI-powered solutions, collaborating with various teams while ensuring production readiness and responsible AI practices.

This role involves building AI-powered applications, developing workflow automations, collaborating with teams, creating documentation, and continuous learning in AI and technology.

Design, build, and deploy LLM-powered applications, collaborating with Data Science teams to ensure agent systems operate reliably in production. Handle full lifecycle from prototype to production, integrating APIs and managing workflows.

The role involves designing, implementing, and optimizing AI models for railroad operations while ensuring integration and collaboration across teams.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.