Top AI Engineer Jobs

The role involves architecting AI-driven backend systems, building self-healing data pipelines, optimizing analytics with OLAP, and supporting team leadership in AI integration.

The Senior AI/ML Engineer develops and deploys ML models for map content enhancement, leading technical guidance and collaboration with various teams.

Design, build, and deploy generative AI solutions (LLMs, RAG, agentic systems) using Python and .NET/C#. Develop APIs, containerize models, implement CI/CD, collaborate with stakeholders, and support production systems.

Lead AI/ML initiatives, design and implement AI-powered solutions, mentor team members, and ensure compliance in healthcare projects.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

Join Capsule as an AI Engineer to develop ML models for video editing. Responsibilities include researching ML techniques, collaborating on feature development, and optimizing model performance.

Design, build, and maintain AI-driven backend systems for observability, focusing on infrastructure development and optimization across cloud and on-premise environments.

The AI Engineer will design and implement intelligent agents for an observability platform, focusing on deploying LLMs and optimizing workflows.

As a Full-Stack AI Engineer, you'll design and build features for AI site reliability, focusing on both frontend and backend systems, including API development and data management.

As an AI Site Reliability Researcher, you will ensure the scalability and reliability of our AI platform, design systems for observability, manage deployments, and develop CI/CD pipelines for hybrid environments.

As an Applied AI Engineer, you will develop and deploy AI-driven systems, collaborating with engineers to create innovative solutions while maintaining high performance and safety standards.

Design and build scalable AI infrastructure, automate workflows, optimize GPU workloads, and ensure reliability for AI systems at Eloquent AI.

As an AI Engineer, you will design and build full-stack applications for AI-driven workflows, collaborate with diverse teams, and optimize user experiences.

As an AI Engineer, you will build and optimize AI agents for enterprise-grade conversations, collaborating with cross-functional teams to improve performance and integrating systems with AI models.

As an AI Engineer, you will develop AI solutions for growth marketing, focusing on LLMs, collaborating with teams, and optimizing AI-driven processes.

As a Founding AI Engineer, you will design and scale AI agents for legal tasks, rapidly prototype product features, and collaborate closely with the founders and legal experts.

As an AI Engineer, you will develop intelligent workflows, prototype AI features, fine-tune models, and integrate AI with the tech stack.

The Applied AI Engineer collaborates with clients to define AI strategies, identifies high-impact use cases, and builds production-ready AI systems, focusing on customer needs and delivering tangible business value.

As an Agent Engineer, you will design and build intelligent systems that enhance creative workflows using AI technologies, ensuring reliability and usability across text, image, and video integrations.

As an Applied AI Engineer, you'll work with organizations to integrate AI systems, ensuring technical solutions meet their mission-driven goals while providing technical advice throughout the deployment process.

The Applied AI Engineer will advise AI startups, develop scalable architectures, create technical resources, and collaborate with engineering teams to enhance product development using the Claude platform.

The Software Engineer 2 role focuses on developing AI assistants for inspection and metrology tools, involving tasks like building retrieval systems, connecting AI to tools, and creating small applications for field engineers.

Lead the AI team, develop AI solutions for semiconductor processes, enhance tool operations, and mentor engineers. Define strategies and architectures for AI integration.

As a Backend/AI Engineer, you'll integrate LLMs, optimize document processing pipelines, and improve API design for document understanding tasks.

Design and build scalable AI inference microservices, collaborating on production pipelines for video understanding and optimizing performance while ensuring maintainable code standards.