Top AI Engineer Jobs

Build and operate AI platform infrastructure, integrations, and custom AI-powered applications; evaluate AI providers; enable company-wide AI adoption through training and documentation; ensure deployments meet government security and compliance requirements.

Design, build, and maintain an enterprise AI platform: infrastructure, integrations, and custom AI applications. Own provider evaluation, secure deployments, and company-wide AI training and enablement. Partner with engineering, security, and IT to meet government compliance and operational requirements.

Lead the development of AI chat solutions, build integrations with GM systems, mentor junior engineers, and address technical challenges in customer support.

The Helix AI Engineer will design and develop multimodal autonomous agents, focusing on reasoning and reliability for humanoid robots using machine learning techniques and frameworks.

As an AI Engineer Intern, you'll collaborate with engineering teams to enhance software development workflows using AI and automation, prototyping tools, and implementing CI/CD processes.

The Senior AI Developer will design, develop, and deploy AI solutions in health tech, integrating conversational AI features and working with cloud platforms.

Build and deploy high-impact AI-native products, architect agent-driven workflows, and collaborate with teams to integrate cutting-edge AI solutions into production systems.

Develop and maintain software for the Missile Defense Agency, focusing on AI solutions, optimization engines, and complex software applications.

As a Forward-Deployed Engineer, you will design, develop, and deploy custom AI solutions, collaborating closely with clients and shaping the engineering culture.

The Applied AI Engineer will enhance generative AI capabilities through model development, integration, deployment, and collaboration with teams to create AI-driven products.

The AI Engineer role involves optimizing language models for fraud detection and building backend infrastructure to support scalable operations for risk management and as well as developing efficient machine learning solutions.

The AI Engineer will develop AI/ML solutions for Fortune 500 clients, ensuring integration and optimization, while collaborating with various stakeholders.

Build and evaluate AI agents and ML models for medical billing, collaborating with operations and customers to improve outcomes.

As an AI Engineer, you will develop and optimize AI systems, focusing on LLM integration, vector databases, and RAG pipelines, collaborating with various teams to ensure cutting-edge performance.

The AI Engineer will develop AI applications, lead customer engagements, monitor system performance, and provide feedback to influence product direction. Requires expertise in machine learning and software engineering.

The AI Engineer will develop and maintain AI pipelines, design robust models, analyze performance, collaborate with Domain Engineers, and communicate technical concepts to stakeholders.

The Marketing Ops AI Manager designs and optimizes AI systems to enhance marketing operations efficiency, data quality, and campaign performance. Responsibilities include developing AI strategies, managing workflows, and training teams on AI applications.

The role involves developing IT engineering designs, overseeing complex projects, administering Microsoft Copilot and Viva, and enhancing collaboration tools across the organization.

As an Applied AI Engineer, you will develop and deploy AI agents for construction projects, manage their lifecycle, and optimize related systems.

Lead architecture, design, and deployment of low-latency edge AI for vehicle cabin features. Optimize ML models for automotive compute, integrate with AAOS/QNX, mentor senior engineers, set engineering standards, and prototype new AI capabilities.

Transform foundational research into scalable systems and algorithms, implement efficient learning methods and optimize high-performance data pipelines.

Lead AI feature development, integrate large models, collaborate cross-functionally, ensure technical quality, monitor AI advancements, and build user interfaces and tools for AI applications.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

The AI Engineer will shape AI strategy by prototyping solutions, collaborating with cross-functional teams, and optimizing ML models for business benefits.

As a Lead AI Engineer, you will optimize NLP prompts, extract data from unstructured documents, fine-tune LLMs, and develop AI features. You will collaborate with a cross-functional team and research new uses for LLMs.