Top Remote AI Engineer Jobs

The role focuses on deploying AI-driven solutions and integrating them within client environments. Responsibilities include client interaction, engineering, prototyping, and contributing to NewRocket's AI platforms.

As a Senior AI Engineer, you'll develop and deploy AI agents, focusing on model fine-tuning, infrastructure, and user interaction across social platforms, ensuring reliability and engagement.

Lead the transformation of our marketing ecosystem by designing AI-driven workflows, building generative asset pipelines, and developing predictive models while ensuring compliance with global privacy standards.

The Staff AI Engineer will design AI-powered systems for People Technology at Grafana Labs, improving workflows and data insights across teams while ensuring responsible AI practices and data governance.

Develop and implement AI solutions and backend services, mentor colleagues, and enhance systems reliability while addressing complex challenges in crypto compliance and customer support.

As an Applied AI Engineer, you will identify, scope, and deliver AI capabilities, partnering with teams to integrate AI solutions, automate workflows, and enhance product functionality while ensuring reliability and maintainability.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.

Design, build, and deploy generative AI solutions and APIs that integrate with data platforms. Implement RAG and prompt strategies, automate data workflows, ensure data quality and governance, and document integrations while collaborating with data, IT, and business teams.

Develop production-grade AI agents for enterprise customers. Design and build LLM-powered systems, integrating workflows, evaluation, and performance standards. Collaborate closely with customers and teams to ensure reliability and effectiveness in real-world applications.

Join the BEAGLE ASF Team as a Gen AI Developer to design, develop software solutions for AI/ML projects, ensuring high availability and scalability, while collaborating in agile delivery.

Sift Healthcare seeks a Senior AI Engineer to enhance ML and AI infrastructure, improve predictive models for healthcare payments, and collaborate with cross-functional teams, requiring 5+ years in an AI role and advanced degree.

The Principal Software Engineer will lead AI automation efforts at Coinbase, designing AI-driven systems, mentoring teams, and solving complex AI challenges to improve operations and developer productivity.

The AI Engineer will develop and deploy AI agents for financial applications, enhance LLM capabilities, and integrate with cross-functional teams.

The AI Engineer will design, build, and scale autonomous AI agents, optimizing LLM capabilities and integrating them into the product, ensuring functionality across financial services.

The AI Engineer will design, build, and deploy scalable AI agents, focusing on enhancing a WhatsApp-based platform while integrating sophisticated systems for diverse functions.

The AI Engineer will design, build, and scale autonomous AI agents for the WhatsApp platform, integrating AI into financial services for Latin immigrants. Responsibilities include development of AI agents, integration, evaluation of LLMs, and prompt engineering.

This role involves leading AI projects, designing and deploying AI systems, collaborating with stakeholders, and developing tools to enhance efficiency in healthcare applications. The engineer will mentor junior members and iterate on prototypes until widely adopted.

The Senior AI Engineer will design and build user experiences using Generative AI, mentor teammates, and lead technical decisions in the BigFuture Student team.

The Staff Engineer, Applied AI will build and unify AI execution platforms, focusing on LLMs and orchestration, while collaborating with product teams and mentoring engineers.

Design, build, deploy, and maintain AI/ML solutions (including LLMs and Generative AI) for provider-facing products. Lead conversational AI/chatbot initiatives, integrate AI into cloud-based services, ensure responsible and compliant AI use, and collaborate with product and engineering teams to deliver scalable, production-quality solutions.

The role involves leading the design and implementation of AI/ML Voice Bot solutions, managing cloud deployments, and mentoring a team.

The AI Engineer designs, builds, and deploys AI systems focusing on Azure OpenAI and generative modeling, supporting innovation initiatives across clinical operations.

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.