Top Remote AI Engineer Jobs

The AI Engineer II will develop and deploy machine learning solutions in healthcare, mentor junior staff, and work on complex data analytics to improve patient care and operational efficiencies.

Lead the technical direction of AI agents, managing context and workflows while partnering with teams to align AI initiatives with business goals. Oversee architectural decisions and mentor engineers in AI practices.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

As a Senior Software Engineer, you will develop AI agent applications, focusing on performance, integration with systems, and mentorship of junior engineers.

Lead design, development, deployment, and maintenance of AI/ML solutions (including LLMs and Generative AI) for healthcare. Drive adoption of responsible AI, build conversational/chatbot systems, integrate AI into cloud services, ensure production reliability, mentor engineers, and align solutions with enterprise AI strategy and product goals.

Lead design, development, deployment, and operationalization of responsible AI/ML solutions (including LLMs, Generative AI, chatbots, and agent orchestration) for provider-facing products. Provide technical leadership, mentor engineers, ensure security/compliance, integrate AI into cloud platforms, and drive alignment with enterprise AI strategy.

The Applied AI Engineer will design, build, and deploy enterprise-grade AI agents using LLMs, collaborate with customers, and mentor teams to enhance engineering quality.

The Senior Manager AI Engineer will lead the development of AI solutions for Global Development, focusing on algorithms, data architecture, and stakeholder collaboration.

The AI Engineer will develop and deploy AI initiatives, ensuring high-quality execution and client satisfaction while collaborating with cross-functional teams.

As an AI Engineer, lead the design and implementation of AI solutions in life sciences, focusing on model development, explainability, and collaboration with product teams to improve processing of complex data.

The GTM AI Engineer will build and operate AI-powered infrastructure for the company's marketing and sales, manage CRM automation, and design workflows to enhance team effectiveness.

As an AI Engineer, you will design and build AI systems for enhancing search, personalization, and fraud detection, collaborating with data scientists and engineers to deliver production-ready AI solutions.

As an AI Engineer, you'll design and build AI-powered applications, integrate AI models, and collaborate with clients to deliver solutions. Responsibilities include full-stack development, prototyping AI solutions, and client interaction.

Design, build, and deploy production-grade generative AI features (RAG, embeddings, vector search, agents) for healthcare applications. Implement backend APIs, integrate AI into front-end interfaces, ensure HIPAA-compliant data handling, and establish evaluation, monitoring, and guardrails for safe, reliable AI in clinical and member-facing systems.

The AI Engineer will design, prototype, and deploy RAG pipelines and agentic workflows to process unstructured data for Government and Military clients. Responsibilities include collaborating on architecture and delivering technical reports while ensuring systems are scalable and reliable.

Lead architecture and hands-on development of a cross-platform mobile platform integrating on-device and server-side AI. Drive React Native and native (iOS/Android) solutions, CI/CD, performance, security, and mentor engineering teams while collaborating with data science and backend teams to deliver scalable, AI-powered mobile experiences.

The Staff AI Engineer will design and build AI systems for healthcare, focusing on agentic behavior, coordination, and workflow execution, while mentoring engineers and ensuring system reliability.

The Senior AI Engineer will design and build architectures for AI systems, translate healthcare processes into AI solutions, and ensure operational reliability while partnering with domain experts.

As a Forward Deployed AI Engineer, you'll architect and deploy AI solutions in diverse environments, ensuring secure and rapid software delivery for defense initiatives while liaising with technical and non-technical stakeholders.

Design and optimize high-performance agentic AI systems for the CUDA ecosystem, collaborating with various teams to enhance NVIDIA products.

As an AI Automation Engineer, you'll identify and build AI-driven automation systems for internal operations, rapidly prototype solutions, and enhance business workflow efficiency, ensuring systems are robust and secure.

Lead end-to-end AI/ML projects: research, prototype, optimize, and productionize ML and LLM solutions for healthcare. Mentor and recruit teams, run experiments and A/B tests, present results to leadership, and pursue AI research and IP.

Lead design, development, deployment, and operationalization of AI/ML solutions (including LLMs and Generative AI) for healthcare. Provide technical leadership on chatbots, conversational AI, and NLP, ensure responsible AI and production reliability, and mentor engineering teams.

Lead AI/ML Engineer to design, develop, and deploy AI-powered solutions across the full ML lifecycle. Own architecture, MLOps, monitoring, and scalability. Partner with product, data science, and platform teams, mentor junior engineers, and drive adoption of best practices for production ML and generative AI solutions.

Lead design, development, deployment, and maintenance of AI-powered solutions (LLMs, Generative AI, traditional ML) for provider-facing products. Build chatbots and conversational NLP, integrate AI into cloud (preferably AWS), ensure responsible AI practices and compliance, provide technical leadership, mentor engineers, and collaborate with product and architecture teams.