Top Remote AI Engineer Jobs

The Lead AI Product Engineer will guide a distributed team to build scalable AI-integrated software solutions, oversee architecture and AI strategy, and mentor developers.

Lead the design and integration of AI-driven features for Spot AI's products, transforming video data into actionable insights to improve safety and operations for various businesses.

Contribute to drug discovery and chemistry simulation platform development, collaborate with R&D teams, and build infrastructure for simulation and data platforms.

Lead cross-squad initiatives to enhance developer experience using AI, mentor engineers, and improve system reliability through AI practices.

Design and implement full-stack applications for GenAI, build developer tooling, collaborate with product teams, and enhance AI agent delivery.

Design and implement full-stack applications and AI agents to enable rapid development and deployment of AI solutions in critical industries. Mentor engineers and take ownership of projects while applying secure SDLC practices and collaborating with cross-functional teams.

As a Senior Software Engineer at Tiger Labs, you will build and improve internal AI tools, support other developers, and contribute to open-source projects while working collaboratively across teams.

As a Full-Stack Engineer, you will develop front-end interfaces using React and TypeScript, create backend services, ensure code quality through testing, and collaborate across teams.

The Senior Backend Engineer will lead AI-focused projects, optimize data pipelines, mentor juniors, and enhance customer support through innovative technologies.

The Lead AI Graph Compiler Engineer will develop a scalable machine learning compiler using MLIR and LLVM while optimizing performance across various model architectures.

The Senior Backend Engineer will develop and optimize backend systems, focusing on voice cloning and text-to-speech functionalities while leveraging cloud technologies. They will ensure high availability and containerized deployment of applications.

The AI Solution Engineer will leverage AI tools to rapidly prototype and digitize forms for the Department of Veterans Affairs, ensuring accessibility and compliance, while collaborating with cross-functional teams.

Develop advanced C++/CUDA libraries for AI storage infrastructure, work with Linux kernel internals, and optimize performance in data storage solutions.

The Software Developer, Generative AI will design and deploy AI-driven applications using Large Language Models. Responsibilities include collaborating with cross-functional teams, integrating LLMs into products, and optimizing generative AI applications while managing the product lifecycle.

The Software Engineer will build tools to enhance the Go-To-Market (GTM) strategy using AI, collaborating with various teams and stakeholders. Responsibilities include developing scalable applications, iterating on tools based on user feedback, and documenting solutions.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

As a Staff Software Engineer focused on AI, you'll integrate AI features into the logistics platform, utilizing Elixir, TypeScript, and various ML tools for real-time data processing and predictive analytics. Responsibilities include API design, building fault-tolerant systems, collaborating with data scientists, and mentoring engineers.

Lead the design and implementation of GPU compute clusters for AI and HPC workloads, managing infrastructure and optimizing performance.

As a Senior Software Engineer (AI Backend), you will develop and maintain scalable backend systems, manage infrastructure-as-code, and integrate AI components.

Evaluate and guide AI-generated Swift code, ensure adherence to iOS development best practices, and write clear code solutions.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

As an AI Tutor for Kotlin, you'll evaluate, write, and document Kotlin code, providing feedback to improve AI model outputs.

As an AI Tutor – Rust, review and improve AI-generated Rust code for memory safety and correctness while solving complex systems problems.

As an AI Tutor in C, you'll train and evaluate AI models, review C code, write solutions, and explain coding concepts.

Review AI-generated Go code, write efficient Go code, and identify issues in outputs while communicating clearly.