Top AI Engineer Jobs

Design, develop, and implement software applications integrating AI capabilities and enhancing user experience, while ensuring product quality and mentoring team members.

The Investment AI Engineer will design, build, and operate AI workflows for investment processes, collaborating with researchers and portfolio managers to improve automation and efficiency.

The Principal AI Engineer leads AI architecture and solutions, partners with teams to align requirements, and ensures operationalization of production-grade AI systems.

The Principal AI Engineer will lead AI system design across SaaS solutions, prioritize AI use cases, build scalable solutions, and mentor teams on AI governance and best practices.

Design systems for AI agents to generate and manage code safely for non-engineers, focusing on security and distributed systems.

The Cyber AI Senior Specialty Software Engineer will design, develop, and deploy AI applications while integrating them with existing systems and resolving technical issues.

Lead architecture and delivery of production-grade generative AI systems (RAG, agent orchestration, multi-model integrations), define prompt and evaluation standards, ensure observability, compliance (HIPAA/FDA), scalable data ingestion, mentor engineers, and partner with platform and product teams to deploy responsible AI at enterprise scale.

Develop and implement AI/ML strategies for healthcare, build models, design experiments, collaborate with teams, and ensure compliance with AI policies.

Lead the design and development of AI/ML models for healthcare. Collaborate with business partners and other teams to ensure high-quality execution and adherence to architectural principles.

The Staff AI Engineer will lead AI automation initiatives, build and manage agent workflows, mentor teams, and ensure systems are robust and responsible.

As an Applied AI Engineer, you will develop and manage full-stack AI projects, build AI infrastructure, and enhance engineering processes to scale solutions at Ramp.

You will research AI technologies, develop, test, and maintain software, improve ML processes, and architect scalable systems for AI applications.

Guide customers in deploying and optimizing DatologyAI's platform across various environments, ensuring technical success while collaborating with Sales and Engineering.

Develop and optimize machine learning models for document understanding, handle production ML systems, and integrate innovations into APIs.

The AI Engineer will develop, deploy, and maintain AI-driven applications and workflows, collaborating with various stakeholders to translate business needs into scalable solutions.

This role involves designing and implementing AI/ML infrastructures, developing AI solutions, collaborating with teams, and optimizing algorithms. Leadership responsibilities may include guiding cross-functional teams and advising on AI strategies.

The AI Engineer will develop AI systems, lead model orchestration and inference, and collaborate on product strategies. Responsibilities include designing architecture, optimizing performance, and mentoring engineers.

Lead development of AI systems, overseeing orchestration, retrieval, and inference. Collaborate with founders and improve product features. Requires 5-10 years in AI/ML.

Join the Fury Team as an AI Engineer to develop AI models for autonomous systems, designing architectures and integrating ML for real-time applications.

Develop core AI features for an AI-native product, including building LLM features, developing benchmarks, and overseeing the full lifecycle of development.

As an AI Engineer, you'll implement AI workflows, collaborate with chemists, improve user systems, and contribute to backend architecture.

The Senior AI Engineer will lead the development of a multi-agent platform, manage technical projects, and collaborate with domain experts while optimizing system performance.

The Applied AI Engineer will design and deploy AI systems, optimize processes, integrate capabilities, and establish engineering best practices.

As a Senior AI Engineer, you will architect and build AI engines for seamless interactions, define metrics for performance, fine-tune models, and collaborate on product vision.

As a Staff ML Engineer, you will architect and build Spara's AI engine, craft user experiences, collaborate with leadership, and innovate in AI application.