Top Remote AI Engineer Jobs

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

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 Applied AI Developer will design and develop AI applications, build infrastructure for agentic AI systems, integrate APIs, and collaborate with stakeholders on AI solutions.

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 Senior AI Engineer, you'll design and implement AI-driven solutions, focusing on full-stack development and production-grade applications while mentoring junior team members.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

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.

This role involves defining AI architecture, improving system quality, leading teams, and building production-ready AI systems at Drata.

As an AI Engineer, you will develop AI systems for legal applications, leading integration and evaluation of AI tools while mentoring a growing team.

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

As a GTM AI Engineer, design and execute AI-driven workflows for Superhuman's go-to-market stack, improving automation in sales processes and team collaboration.

As a Principal AI Engineer, you'll design production-grade systems integrating generative AI in mental healthcare, overseeing architecture and applied research.

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

This role involves leading AI initiatives in Notebooks, developing machine learning features, and coordinating with product teams to enhance user experience.

As a Staff AI Engineer, you'll design and deploy AI systems to automate financial workflows, optimizing architectures and integrating with production systems.

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.

Lead applied research on retrieval and reasoning for compliance-focused AI: design and evaluate RAG/agent strategies, build evaluation frameworks and ranking systems, run experiments, debug failure modes, and hand validated approaches to engineering for productionization.

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 Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

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

The Agentic AI Engineer will design systems that integrate ERP, CRM, and HRIS, build AI workflows, and enact governance frameworks to support enterprise AI initiatives.

The Distinguished AI Engineer will design, develop, and support AI software components, collaborate with cross-functional teams, and improve AI system performance.

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

The AI Evaluation Engineer - Manager leads AI solution teams, develops predictive models, supervises performance, and fosters a collaborative team environment while ensuring ethical AI practices and managing client relationships.

The role involves developing, testing, and validating Generative AI agents and maintaining automated testing standards. Responsibilities include mentoring junior associates, analyzing complex issues, and applying governance controls in AI-driven solutions.