Top Remote AI Engineer Jobs

The Senior Software Engineer will design and implement core systems for AI-driven customer service, focusing on backend architecture, database design, and system reliability.

Design and implement features for Temporal's AI SDK, collaborate with the community, document APIs, and support reliability in AI applications.

As a Ruby AI Tutor, you will review Ruby code for safety and correctness, solve system-level problems, and summarize decision-making processes.

As a DevOps Infrastructure as Code Engineer, you design and maintain cloud infrastructure, automate processes, and monitor performance for AI applications.

As a Senior Software Engineer at Mainstay, you will design, build, and optimize AI-powered systems, ensuring reliability and efficiency while collaborating closely with cross-functional teams.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

The AI Solutions Engineer will work with ML teams, advising on GenAI/ML best practices, conducting demos, strategic reviews, and partnering with sales and product teams to drive customer success and product development.

The Integrations & Automation Engineer will design and implement automation and integration solutions with a focus on AI to enhance operational efficiency across various business functions.

Pulte Mortgage seeks a Data Engineer to enhance data ecosystems, optimize data processing, and leverage AI/ML technologies to improve data-driven decision-making for the company.

Develop backend applications using Flask, optimize performance, collaborate with teams for UI/UX, and maintain existing applications.

The role involves architecting and managing infrastructure systems, integrating third-party partners, and driving operational excellence across cloud platforms.

This role involves designing and deploying AI infrastructure for academic research, optimizing GPU-accelerated computing, and collaborating with researchers to enhance performance and functionality.

Design, develop, and maintain web applications and APIs, ensuring scalability and performance, while utilizing AI-assisted coding tools.

The Staff Software Engineer will lead the development of scalable AI and data platforms, mentor engineers, and ensure best practices in data governance. Responsibilities include architecture design, collaborating across teams, and integrating advanced technologies to optimize platform performance.

Develop and maintain high-performance Python-based backend APIs, ensuring robust data management and collaborating with various teams to enhance cybersecurity products.

Lead the integration of AI in CPU/SoC design and verification. Build AI copilots for workflows, partner with EDA vendors, and define methodologies for CPU design improvement.

The Software Engineer (Applied AI) will build and design AI-native systems, data pipelines, and applications to enhance sales processes, ensuring reliable data handling from multiple sources.

Revic seeks a Sr. Software Engineer to develop AI-driven systems from diverse data sources, enhancing sales productivity and decision-making. Ideal candidates will have extensive experience in building scalable systems and solving complex problems.

Lead the design and implementation of AI-driven solutions for healthcare platforms, mentor engineers, and ensure compliance with healthcare standards.

Design and implement backend services for an AI-driven automation platform, focusing on LLM orchestration, API development, and system reliability.

As a Software Developer, you will create training data for AI models, audit tool usage, write test cases, and improve technical outputs. No prior AI experience is necessary, but coding skills are critical.

Design and manage scalable AI infrastructure, ensuring reliability and performance. Engage in the full lifecycle of cloud services and support production systems.

Lead the development of AI tools to enhance operational efficiency and member experience at BECU, collaborating across functions and mentoring engineers.

The Cloud Data Engineer will enhance cloud service operations by ensuring reliability, security, and performance while implementing standards and automation. Responsibilities include building components in Azure, monitoring resources, troubleshooting, and documenting best practices.

Lead architect and development of AI-driven data infrastructures. Design data pipelines and systems for ML model training and semantic search capabilities.