Top Remote AI Engineer Jobs

The Sr. Delivery Acceleration AI Engineer will develop AI-driven solutions for implementation processes, optimize workflows, and ensure alignment with professional services. Responsibilities include creating AI agent workflows, validating outputs, and integrating solutions with ServiceNow's platform.

As a Senior Delivery Acceleration AI Engineer, you will design and optimize AI-driven solutions for customer implementations, focusing on large language models and prompt engineering. You will collaborate with various teams to improve delivery efficiency and quality while ensuring AI solutions align with professional services workflows.

Design, develop, and optimize AI-powered implementation solutions for ServiceNow, focusing on building AI agents that automate configurations, generate implementation artifacts, and accelerate deployment efficiencies.

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 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 designing AI systems for mental healthcare, focusing on building scalable, production-grade systems that enhance patient engagement and clinical operations. Responsibilities include setting technical standards and ensuring safety and reliability while working with advanced AI technologies.

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'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.

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

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.

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.

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.

Design and develop AI-powered solutions for ServiceNow implementations, focusing on prompt engineering and automation to optimize delivery speed and quality.

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

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.

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

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.

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