Top AI Engineer Jobs

The Forward Deployed AI Engineer at Cadre AI builds production AI systems, directly collaborates with clients to identify opportunities, and manages end-to-end project delivery from architecture to execution.

Design and build AI-driven systems and prototypes using language models and AI APIs. Integrate vector stores and RAG architectures, evaluate hosted and open-source models, and partner with cross-functional teams to deliver production-ready solutions.

The AI Engineer will prototype AI solutions, advise on integration, manage AI initiatives, and collaborate across technology teams, ensuring alignment with business needs. Roles include monitoring AI trends, engaging stakeholders, and conducting knowledge-sharing sessions on best practices.

The Principal AI Engineer will design and deploy AI-driven solutions, integrate AI into data processing pipelines, and drive market insights using advanced AI techniques. Responsibilities include building scalable infrastructure, developing LLM solutions, and partnering with multi-disciplinary teams.

The Senior AI Engineer will design and develop voice agents and agentic workflows for healthcare operations, ensuring reliable interactions and efficient backend processes while monitoring performance and iterating on systems based on user feedback.

The Associate Director, AI Engineer will design and develop multi-agent systems, collaborate with teams, and implement AI workflows for clients.

Lead the engineering of AI-native platforms for content production, transforming manual processes into scalable AI systems in marketing and creative operations.

As an AI Engineer, you will design, build, and deploy AI-powered solutions for clients in life sciences, integrating third-party APIs and developing internal tools.

The Applied AI Engineer will work at the intersection of product, engineering, and research to develop AI tools, influence engineering practices, and contribute to company culture while addressing customer challenges.

The Applied AI Engineer role involves designing, building, and deploying AI-powered systems, collaborating with business teams, and measuring solution impact. Responsibilities include translating workflows into systems, driving outcomes, and ensuring regulatory compliance while fostering community sharing of learnings and tools.

Lead the development of AI applications and frameworks, ensuring adherence to system architecture and industry standards. Collaborate with management to enhance system functionalities and deploy new products while mentoring mid-level developers.

The Senior ServiceNow AI Engineer will configure, deploy, and operate AI capabilities, integrate Moveworks, ensure compliance with governance, and manage AI lifecycle across platforms.

Develop and deploy AI/ML capabilities for Blue Ring ground systems: build multi-agent components, RAG pipelines, telemetry preprocessing, anomaly detection and forecasting models, and maintain containerized production AI services and observability for satellite fleet operations.

Design, build, and operate AI/ML capabilities for satellite operations including multi-agent systems, RAG pipelines, vector DBs, time-series anomaly detection and failure prediction, containerized AWS deployments, CI/CD, observability, human-in-the-loop workflows, and on-call production support.

The Principal AI Engineer designs and implements AI systems, focusing on generative AI and machine learning, while collaborating with teams to align solutions with business needs and ensure compliance with regulations.

The Senior AI Engineer will design and maintain customer-facing AI tools by building APIs, optimizing workflows, and conducting experiments with generative AI models, ensuring system reliability and integration with production systems.

The Senior Technical Writer will develop and maintain technical documentation for fusion systems by collaborating with operations and engineering teams to translate complex processes into usable procedures and manuals.

The Forward Deployed AI Engineer will lead AI product implementation, optimization, and architecture for customers, enhancing their AI inference solutions while communicating technical success and insights back to the company.

The AI Engineer is responsible for designing and implementing AI solutions, optimizing operational efficiency, and enhancing equipment performance using Generative AI methodologies.

As a Senior AI/ML Engineer, you'll enhance developer productivity by leading CI solutions, mentoring engineers, and implementing scalable systems.

Build and maintain AI-driven backend services and APIs, integrate LLM providers (OpenAI, Anthropic), implement scalable systems using Postgres and Redis, design Pydantic data models, write tests, troubleshoot performance, and collaborate on deployment and platform improvements.

Design and develop machine learning solutions, build ML pipelines, apply NLP and deep learning techniques, ensure model reliability, and mentor junior engineers.

The Senior AI Enablement Engineer will design and build AI infrastructure and workflows, fostering company-wide adoption of AI-powered solutions by collaborating with various departments.

Lead the development of AI applications, ensuring high reliability and performance while collaborating with teams to identify use cases and implement scalable solutions. Drive AI methodologies, governance, and continuous improvement in the organization.

As an AI Engineer, you'll lead backend implementation, build AI-powered products, and ensure high-quality systems, contributing to Elicit’s tech stack and user experience.