Top Remote AI Engineer Jobs

Design and implement AI/ML solutions for healthcare, collaborating with teams to translate complex requirements, deploy models, and process large datasets.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

As a Senior Backend Engineer at GitLab, you'll design and optimize AI-driven backend features for CI processes, improve system reliability, and collaborate cross-functionally to enhance platform performance.

The Applied AI Engineer will prototype AI solutions by building proofs-of-concept, integrating various AI tools, and collaborate with research and backend teams to refine and deploy AI memory solutions.

This role involves designing, building, and deploying AI systems, especially focused on machine learning and large language models, to solve business problems with a structured evaluation strategy.

The Senior AI Engineer will design and build autonomous AI agents for mental health applications, focusing on LLM integration and reinforcement learning techniques for user interactions.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

As an AI Engineer, you will develop and implement internal automation workflows, integrating various tools and APIs to improve productivity in design and development processes, primarily using LangChain and related frameworks.

The Staff AI Engineer will lead technical architecture for AI/ML platforms, mentor teams, and ensure dataset quality and regulatory compliance in healthcare applications.

As a Principal AI Engineer, you will lead the development of the AI infrastructure at Exactera, focusing on building complex knowledge graphs, hybrid retrieval systems, and compliance-grade AI solutions for tax advisory applications.

The role involves developing and rolling out GenAI solutions, serving as a technical advisor, and collaborating cross-functionally on AI applications.

The Senior Application Security Engineer will manage vulnerability programs, refine scanning tools, collaborate with engineering teams, and assist in security incident investigations to enhance overall security operations.

The Staff IT Engineer will lead AI enablement by developing tools, integrating systems, automating workflows, and enhancing business productivity across Openly.

Lead the development of JumpCloud's AI platform, focusing on architecture, AI model integration, and mentoring engineers while ensuring operational excellence and customer satisfaction.

As a Software Engineer for the AI Platform, you will design, develop, and implement scalable applications, focusing on AI-driven systems and platform engineering, while collaborating with cross-functional teams.

The ServiceNow AI Engineer will design and develop AI-driven applications on the ServiceNow platform, integrating machine learning and NLP solutions, managing application development processes, and supporting ServiceNow implementations.

The AI Engineer role focuses on implementing generative AI capabilities using Microsoft 365 tools, building custom agents and automation, ensuring governance and compliance, integrating with existing platforms, and providing technical support. Strong experience in AI solutions, Microsoft stack, and security controls is required.

As a Senior Software Engineer, you will design and implement AI agents to automate DevOps and DBA workflows, ensuring agents operate safely and effectively in real infrastructure environments.

The Developer Relations Community Manager will engage AI developers, create technical content, manage community operations, and drive advocacy and adoption for Runpod's AI infrastructure platform.

The AI Engineer develops advanced AI systems, manages datasets, creates and integrates machine learning models, and collaborates with teams to enhance applications.

The Senior AI Engineer will develop AI-driven solutions using LLMs, focusing on prompt engineering, integration, research, and data utilization for payment systems.

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

As an AI Engineer, you'll develop and optimize LLMs, collaborating closely with cross-functional teams to enhance detection engineering capabilities and drive new AI initiatives.

As an AI Engineer, you will develop and optimize AI systems, focusing on LLM integration, vector databases, and RAG pipelines, collaborating with various teams to ensure cutting-edge performance.