Top Remote AI Engineer Jobs

Design, develop, and deploy AI solutions for complex business challenges using advanced expertise in artificial intelligence. Collaborate with team members to ensure AI solutions meet business objectives and user satisfaction. Stay updated on the latest AI technologies and approaches to address specific business challenges.

Seeking a motivated AI Engineer to join an AI/ML based project. Responsibilities include implementing AI/ML solutions using Python, ensuring project functionality, and developing enterprise-level applications using C#. Must have Python, OOP, Git skills, and proficiency in Ukrainian or Russian. Preferable skills include knowledge of AI/ML frameworks, C# programming, data preprocessing, and database experience. Additional qualifications such as knowledge of Quart, asyncio, and experience with RPA tools are a plus. Benefits include paid vacation, timely payments, annual reviews, and an exciting project environment. Work schedule negotiable.

Seeking an experienced Senior Distinguished Engineer, AI Systems to build the foundations of enterprise AI capabilities at Capital One. Responsibilities include designing robust infrastructure, building large-scale distributed training clusters, deploying ML models, and supporting AI research and development. Remote work is eligible for this role.

Sonatus is seeking a highly motivated AI engineer to accelerate software innovations for next-generation software-defined vehicles. Responsibilities include leveraging AI models, collaborating with teams, optimizing models, developing custom solutions, integrating AI solutions, and monitoring performance. Qualifications include a Bachelor's degree in a related field, 5+ years of AI experience, strong programming skills, knowledge of AI technologies, cloud platform experience, and excellent problem-solving and communication skills.

Sonatus is seeking a highly motivated AI engineer to accelerate software innovations for next-generation software-defined vehicles. Responsibilities include leveraging AI models, collaborating with teams, optimizing models, developing custom solutions, and integrating AI into systems.

Lead AI projects using large language models to enhance marketplace and back-office tools. Collaborate with product teams to integrate AI, build scalable infrastructure, and mentor team members. Remote work option with preference for candidates in Boston, MA or Eastern Time Zone.

Capital One is seeking a Senior Distinguished Engineer, AI Systems to help build enterprise AI capabilities, design robust infrastructure, deploy large-scale ML models, and support AI research and development. Responsibilities include designing fault-tolerant infrastructure, building ML model serving infrastructure, and implementing benchmarks for performance measurement. Remote work is possible for this role.

Seeking a Senior AI Engineer to drive innovation using advanced AI techniques, develop AI models, create interactive UI demos, implement MLOps practices, and collaborate with cross-functional teams.

Capital One is seeking a Senior Distinguished Engineer, AI Systems to help build enterprise AI capabilities, design robust infrastructure, deploy ML models, and support cutting-edge AI research and development in a public cloud environment.

Capital One is seeking a Senior Distinguished Engineer for Generative AI Systems to help build enterprise AI capabilities. Responsibilities include designing robust infrastructure, building large-scale distributed training clusters, deploying ML models, and supporting AI research and development. The role involves working with AI engineers and researchers to enhance the company's AI capabilities in public cloud infrastructure. Remote work option available.

Staff AI Engineer role focused on utilizing AI to deliver equitable solutions in education. Responsibilities include integrating AI into the product, partnering with school districts, and building tools for teachers. The role requires 10+ years of experience in building web apps, backend services, and frontend user interfaces, as well as knowledge of Generative AI and LLMs.

Senior AI Engineer at WEX responsible for designing, implementing, and maintaining scalable full-stack components, integrating AI models, managing CI/CD pipelines, and collaborating with cross-functional teams.

Experienced Lead Generative AI Engineer responsible for building and maintaining APIs and SDKs to train, fine-tune, and access AI models at scale. Collaborate with a team to design and implement key API products and services for real-time customer-facing applications. Work on projects involving Large-Language Models (LLMs) and Foundation Models (FMs) using public cloud infrastructure. Remote work opportunity available at Capital One.

Lead Generative AI Engineer responsible for building and maintaining APIs and SDKs to train and access AI models at scale, working with Large-Language Models (LLMs) and Foundation Models (FMs). Collaborate with a team to design and implement key API products for real-time customer-facing applications and develop tools for monitoring API access patterns.

Join TTEC Digital as a Solution Engineer - Messaging to work on technical design, development, and implementation of conversational applications for enterprise clients. Responsibilities include guiding clients on AI-powered Conversational Bots, leading requirements workshops, developing AI/Conversational BOTs, and more. Requires 5+ years of development experience and proficiency in JavaScript, Java, and Python.

Seeking a highly skilled AI Engineer to build and maintain innovative AI-driven solutions. Must thrive in a high-growth, fast-paced environment and drive projects with minimal oversight. Responsibilities include project development, collaboration, leadership, and technical implementation. Qualifications include a Bachelor's or Master's degree in Computer Science, 5+ years of experience in independent project building, and strong proficiency in C, C++, Python, SML, OCaml, and low-level programming in C/C++/Assembly.

Design, develop, and support machine learning platforms and services using Python, Java, JavaScript, and Go. Collaborate with cross-functional teams to deliver AI-driven applications aligned with strategic goals. Stay updated with advancements in AI and machine learning.