AI Software Engineering Intern (AI)

TL;DR

AI Software Engineering Intern (AI): Developing and optimizing automation scripts, tools, and applications for hirify.global’s business goals with an accent on seamless integration with existing systems and improving operational efficiency. Focus on designing, developing, and maintaining LLM-driven agentic workflows, performance tuning, and collaborating with engineering and software teams.

Location: Hybrid in Poland, Gdansk

Company

hirify.global is a leading technology corporation focusing on AI technologies and foundational software stacks, products, and services, including specialized NPU and GPU IP.

What you will do

• Assist in designing, developing, and maintaining automation scripts and tools.
• Support the integration, optimization, and testing of software applications.
• Contribute to performance tuning, debugging, and enabling new features across operating systems and user-level applications.
• Participate in troubleshooting automation-related issues and identifying areas for improvement.
• Collaborate closely with design teams, software engineers, and internal stakeholders to deliver robust, scalable, and secure solutions.
• Document processes, scripts, and technical findings to support knowledge sharing and continuous improvement.

Requirements

• Currently pursuing a degree in Computer Science, Engineering, or a related technical field.
• Experience with programming languages such as Python, C++, or Go.
• Familiarity with automation tools, scripting frameworks, or software development practices.
• Ability to diagnose and resolve automation or software-related issues.
• Adaptability: Fast learner with the ability to adapt to new tools, technologies, and engineering processes.
• Hands-on experience building LLM-driven agentic workflows that can plan, call tools/APIs, observe results, and iterate, with clear success/stop conditions.
• English: B2 required

Nice to have

• Previous experience in automation projects, software development, internships, coursework, or research.
• Strong problem-solving and analytical capabilities, especially in debugging and optimizing scripts or applications.
• Experience with common agent patterns and knowing when to use direct function/tool calling vs iterative agent loops.
• Familiarity with standardized tool integration approaches such as Model Context Protocol (MCP).
• Experience evaluating and monitoring agents in production, with regression datasets and repeatable evaluation workflows.

Culture & Benefits

• Work in a collaborative, supportive environment with opportunities for professional development.
• Competitive benefits and pay, including bonuses, private medical plan, life insurance, and lunch coupons.
• Opportunities to participate in various innovation-focused activities like the innovation lab and patent submissions.
• Chance to participate in hirify.global Great Place to Work program activities (running, cycling, squash, tennis, cross fit, photography).
• Hybrid work model offering flexibility between on-site and off-site work.