The AI Engineer Intern will build and test AI systems, work with data and models, and assist in creating AI agent systems and performance tracking tools, gaining hands-on experience in AI engineering.

As Head of Data Engineering, you will architect and scale Snowflake data warehouse solutions, lead client engagements, build a data engineering practice, and mentor data engineers.

The AI Consultant leads end-to-end AI strategy engagements, developing roadmaps, managing client relationships, and ensuring project execution while fostering long-term partnerships.

The Senior Recruiter at Cadre AI leads talent acquisition across US and Colombia, focusing on proactive, outbound recruiting for technical roles. Responsibilities include managing the ATS, optimizing AI recruiting tools, and executing outreach campaigns, ensuring a consistent pipeline of qualified candidates while enhancing recruiting infrastructure.

The Head of AI Engineering oversees all engineering delivery, leads a team of engineers, and drives the AI/ML strategy for clients at Cadre AI, ensuring quality and scalable solutions.

The Operations Specialist at Cadre AI manages operational tasks for client engagements, oversees project coordination using ClickUp, facilitates meetings, and maintains client records. This role requires strong organizational skills and experience in project management within professional services.

The Forward Deployed AI Engineer at Cadre AI designs and implements AI solutions for clients, managing the complete delivery process, and ensuring integration of AI systems that positively impact business operations.

The Director of AI is responsible for building the AI infrastructure and strategy, leading a team, and implementing AI solutions across the organization. This includes overseeing data governance, cloud data architecture, and customer-facing AI tools while managing stakeholder relationships and driving team performance.

The AI Engineer at Cadre AI designs, develops, and deploys production AI systems, focusing on machine learning and LLM integrations for diverse business workflows. Responsibilities include building AI models, optimizing outputs, managing data infrastructure, and collaborating with teams to implement AI solutions effectively.