AI Engineer Intern

Location: Bellevue, WA, United States; onsite/hybrid

Salary: $72.92 per hour

Company

hirify.global develops enterprise software for business orchestration and automation across AI agents, robots, people, and systems.

What you will do

• Design, develop, and operate AI-driven components within the hirify.global platform.
• Implement features and systems for AI services, including Context Grounding, Conversational Agents, and Agent Memory.
• Collaborate with senior engineers, product managers, UX designers, and other engineers on the technical product roadmap.
• Apply engineering practices including CI/CD, testing, operational excellence, and performance-focused delivery.
• Address customer tickets, understand customer scenarios, and automate them through testing.
• Learn and apply emerging AI and Generative AI technologies.

Requirements

• Currently pursuing an MS or PhD in Computer Science, Engineering, AI, or a related technical field.
• Up to 1 year of software engineering experience through internships, research, or coursework.
• Foundational understanding of Generative AI, with exposure to Large Language Models or Retrieval-Augmented Generation highly valuable.
• Strong proficiency in Python, TypeScript, or C#, with Python experience involving AI/ML frameworks especially relevant.
• Understanding of object-oriented programming, data structures, algorithms, API design with REST or gRPC, and asynchronous programming.
• Experience using AI coding assistants such as GitHub Copilot, Cursor, or Claude, including reviewing and testing generated output before relying on it.
• Ability to work effectively within a globally distributed team and communicate technical concepts clearly.
• Willingness to seek feedback and apply best practices to improve performance.

Culture & Benefits

• 12-week summer internship running from May/June through August/September 2027.
• Work arrangement varies by role; this position is specified as onsite/hybrid in Bellevue.
• Collaborative environment focused on curiosity, learning, feedback, engineering quality, and inclusive work.
• Applications are assessed on a rolling basis and may close when a qualified candidate is selected.
• Reasonable accommodations are available for candidates on request.