Top Remote AI Engineer Jobs

The AI Sales Engineer will build relationships with customers, lead product demonstrations, handle objections, and act as a domain expert in ML. Responsibilities include collaborating with sales and technical teams to create value propositions and developing educational materials about ML and MLOps.

Lead design and build of AI-powered systems (LLMs, agents, vector DBs), create POCs and production-ready solutions, integrate with third-party models, develop full-stack APIs and pipelines, collaborate with product/data/security, and drive AI experimentation and adoption across the business.

The AI Engineering Productivity Lead enhances software delivery by implementing AI-assisted development practices and optimizing workflows with shared tooling and documentation.

As a Staff AI Software Engineer at PromptQL, you'll lead the development of AI systems, design architecture, and optimize performance while shaping the direction of AI technology in enterprises.

As a Software Engineer, you'll design and implement scalable data and AI solutions, participate in code reviews, troubleshoot issues, and collaborate across teams.

The Engineering Manager will lead a cross-continent team to enhance engineering productivity using AI tools, collaborate across departments, and deliver innovative product experiences.

Lead the design and build of automation infrastructure for GTM, enhancing sales and marketing efforts through advanced engineering solutions.

The Senior AI Platform Engineer will design, develop, and maintain scalable healthcare technology platforms, ensuring reliability and compliance with regulations while enhancing developer productivity through automation and best practices.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

As an AI Platform Backend Engineer, you'll design and deploy backend systems utilizing AI for real-world applications, optimize performance, and mentor junior engineers while working directly with clients to address complex challenges.

As an AI Platform Engineer, you will design and develop AI-driven backend solutions, optimize performance, and collaborate with customers and teams.

The AI Forward Deployed Engineer designs and implements AI solutions, collaborating with stakeholders, enhancing reliability, and producing reusable resources. Responsibilities include diagnosing AI solution issues and engaging with finance and data teams.

The Principal Software Engineer will lead the design and implementation of Docker AI Cloud's distributed systems, focusing on scalable, reliable infrastructure while mentoring engineers and aligning technical strategy with business objectives.

The Staff Software Development Engineer will lead software development projects, implement AI/ML solutions, oversee system architecture, and mentor teams, focusing on both legacy and modern technologies.

As a Senior AI Engineer, you will develop and optimize Generative AI applications, manage AI pipelines, collaborate with clients, and ensure production delivery with MLOps best practices.

The Principal AI Content Creator will develop and optimize AI agents for customer service, improve natural language processing, and enhance bot capabilities for GE Appliances' digital innovation team.

The AI Data Engineer evaluates and validates AI agent output, creates datasets for testing, implements evaluation automation, and communicates technical findings to stakeholders.

Responsible for ensuring the quality of Veeva AI Agents through evaluation and validation methodologies. Tasks involve creating test datasets, developing evaluation pipelines, analyzing model behavior, and communicating results to teams.

The role involves ensuring the reliability of Veeva AI Agents through validation, creating test datasets, automated evaluations, and root cause analysis.

The role involves evaluating AI data integrity, creating high-quality datasets, automating evaluation pipelines, and communicating performance metrics to product teams.

As an AI Data Engineer, ensure the reliability and accuracy of AI Agents through systematic evaluation and validation, utilizing strong analytical skills and data quality principles.

The AI Data Engineer ensures the quality and reliability of AI Agents through rigorous evaluation, data integrity assessment, and automation of evaluation pipelines, while communicating findings to technical teams.

As an SDK Software Engineer, you will develop and maintain AI SDKs, collaborate with teams, and contribute to open-source projects.

The Lead Product Software Engineer will develop AI solutions, collaborate with teams, and lead projects focused on customer-centric product development using Agile methodologies.

Design and implement AI-driven automated workflows, collaborating with customers to improve document-heavy processes using Azure services, while ensuring system reliability and scalability.