Top AI Engineer Jobs

As a Senior/Lead AI Software Engineer, you will develop intelligent agents for supply chain tasks, drive architectural decisions, lead technical strategies, and collaborate across teams while mentoring engineers.

As a Software Engineer on the AI Core Team, you'll design and build AI pipelines and workflows, optimize systems, and collaborate cross-functionally to deliver advanced AI solutions. Requires proficiency in Python, JavaScript, and AWS services.

Lead and mentor technical resolution of complex Data & AI production issues for customers, deep-dive into data pipelines and AI workflows, troubleshoot Spark/Delta/DLT/Model Serving, influence product improvements, and guide architects to build performant, reliable Databricks-based solutions.

The Principal ML/AI Engineer will shape the AI vision, prototype AI systems, and architect an AI-ready technical stack while mentoring teams and collaborating with executives.

The Principal AI Platform Engineer will design and maintain the infrastructure for AI systems, ensuring integration, security, and scalability for GenAI products.

The AI Engineer will design, develop, and integrate AI solutions, collaborating with engineering teams to enhance intelligence operations and data modeling.

Design, develop, and maintain secure MCP Servers for AI integration, ensuring scalability and system security while managing API integrations and tools for AI assistants.

As an AI Engineer, you will develop, deploy, and optimize AI applications, collaborate with partners, and ensure compliance with governance frameworks.

Join a team to develop AI tools for financial markets, focusing on building workflows and integrations, improving processes, and ensuring compliance.

The AI Engineer will develop and deploy AI systems across various domains like Vision AI and Physical AI, ensuring scaled, production-ready solutions and collaboration with data science and engineering teams.

The Applied AI Engineer will architect, implement, and maintain AI agents for Edison's platform, collaborating with science and engineering teams and gathering insights from R&D partners to improve the agents' capabilities and reliability.

As an Applied AI Engineer at Snorkel, you'll design and implement AI solutions using state-of-the-art techniques to solve customer challenges and enhance the Snorkel platform.

As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.

As an AI Engineer at Loop, you will develop AI models and features, specifically focused on document extraction, LLM scaling, and backend engineering in a collaborative team environment.

As an AI/ML Engineer, you will develop and optimize AI solutions for renewable energy assets, collaborating with a skilled team to deploy algorithms in real-world projects.

As an AI Developer, you'll enhance engineering productivity by developing LLM-powered tools for code refactoring, test generation, and CI/CD processes, while ensuring production-grade performance.

The AI Engineer will build AI-powered systems to improve workflows for healthcare businesses, focusing on agentic coding and automating processes while collaborating with non-technical teams.

Lead AI engineering initiatives, architect systems for AI-assisted code generation, and drive automation in a fintech environment. Responsible for technical standards and implementation across multiple complex projects using LLMs and AI agents.

The Staff AI Engineer will architect AI-assisted systems and drive technical standards for code generation and review, focusing on automated quality assurance in a fintech environment.

The Staff AI Engineer will drive architecture and implementation of AI-assisted engineering practices, overseeing technical standards, automated testing, and code review systems for software development in a regulated fintech environment.

The role involves architecting AI-assisted engineering systems, driving projects on AI review, test automation, and multi-agent workflows. Requires deep experience with AI tools, systems architecture, and fintech compliance.

Lead AI engineering initiatives by architecting and implementing AI-assisted development systems, managing concurrent projects, and driving technical standards at SpotOn.

Develop and maintain computational infrastructure for AI biosensor optimization, collaborate on data workflows, and implement deep learning models for protein engineering.

The Sr. Data and AI Engineer will drive product discovery, improve processes, deliver solutions, and mentor data engineers in a cross-functional team.

As a Machine Learning Engineer, you will build agentic systems for autonomous web navigation and complex task completion, integrating LLMs and reinforcing learning.