We're looking for a motivated engineering student to join our AI team and help build solutions for our global client base.We're a small team (not including the bots) of AI enthusiasts who love to work on challenging projects involving Machine Learning, LLM Engineering, Data Engineering, and everything else data or AI-related. We often collaborate with DevOps, Backend, QA, and System Architect teams and have delivered AI-powered solutions for industries like smart devices, hospitality, and healthcare.Our tech stack depends on the project, but we mostly use Python and its community-powered libraries and frameworks. We're excited about creating novel approaches for yet unsolved problems, automating jobs that usually consume too much time, and using cloud technologies to scale everything up. RequirementsQualifications & ExperienceStudying computer science, engineering, natural sciences, or a related field, available to work full-time (40h/week)Solid grasp of at least one programming language, ideally PythonYou've actually used AI tools to build something — not just prompted ChatGPT for homework, but built, debugged, or shipped something using an LLMHands-on experience building LLM-powered applicationsComfort adapting to cross-functional teams and new ways of workingYou use AI tools daily and know when to trust them and when not to — you understand that AI can speed up the work, but the thinking, architecture, and judgment behind a solution are still yoursStrong written and spoken English, since you'll work directly with international clientsYour responsibilitiesYou'll spend most of your time reasoning about AI systems rather than typing out boilerplate. You'll be designing, testing, and evaluating LLM-powered features where "correct" depends on context, not a fixed formula.Designing and evaluating LLM-based features, including building test cases for non-deterministic behaviorReviewing, refining, and shipping AI-assisted code that's clean, maintainable, and genuinely production-ready — not just a good demoRolling out features and iterating based on feedback from QA engineers, users, and clientsWorking directly with cross-functional teams (DevOps, Backend, QA, System Architects) and, at times, with clients themselvesParticipating in code reviews, pairing, and knowledge-sharing — you'll learn as much from explaining your reasoning as from writing codePresenting your solutions to colleagues and, when relevant, to clients
We're looking for a motivated engineering student to join our AI team and help build solutions for our global client base.
We're a small team (not including the bots) of AI enthusiasts who love to work on challenging projects involving Machine Learning, LLM Engineering, Data Engineering, and everything else data or AI-related. We often collaborate with DevOps, Backend, QA, and System Architect teams and have delivered AI-powered solutions for industries like smart devices, hospitality, and healthcare.
Our tech stack depends on the project, but we mostly use Python and its community-powered libraries and frameworks. We're excited about creating novel approaches for yet unsolved problems, automating jobs that usually consume too much time, and using cloud technologies to scale everything up.
Requirements
Qualifications & Experience
- Studying computer science, engineering, natural sciences, or a related field, available to work full-time (40h/week)
- Solid grasp of at least one programming language, ideally Python
- You've actually used AI tools to build something — not just prompted ChatGPT for homework, but built, debugged, or shipped something using an LLM
- Hands-on experience building LLM-powered applications
- Comfort adapting to cross-functional teams and new ways of working
- You use AI tools daily and know when to trust them and when not to — you understand that AI can speed up the work, but the thinking, architecture, and judgment behind a solution are still yours
- Strong written and spoken English, since you'll work directly with international clients
Your responsibilities
You'll spend most of your time reasoning about AI systems rather than typing out boilerplate. You'll be designing, testing, and evaluating LLM-powered features where "correct" depends on context, not a fixed formula.
- Designing and evaluating LLM-based features, including building test cases for non-deterministic behavior
- Reviewing, refining, and shipping AI-assisted code that's clean, maintainable, and genuinely production-ready — not just a good demo
- Rolling out features and iterating based on feedback from QA engineers, users, and clients
- Working directly with cross-functional teams (DevOps, Backend, QA, System Architects) and, at times, with clients themselves
- Participating in code reviews, pairing, and knowledge-sharing — you'll learn as much from explaining your reasoning as from writing code
- Presenting your solutions to colleagues and, when relevant, to clients
Infinum is an independent design and development agency. Founded in 2005, the company operates from eight offices across Europe and the US. The collective of over 350 talented individuals such as designers, engineers, software testers, analysts, machine learning specialists, and business professionals work on technological solutions for major global clients.
The company’s expertise lies in developing rock-solid, functional, and beautifully designed software solutions - they accomplish this by designing, building, and scaling authentic digital experiences that deliver value and empower people to accomplish their goals.
Deloitte regularly ranks Infinum among the fastest-growing tech companies in Europe, and independent research has granted them the best employer award four times.
Aside from client projects, Infinum has launched several businesses like Productive - software for agency management, and a joint venture Porsche Digital Croatia, a digital innovation hub for high-tech solutions in the automotive sector.
Infinum is also known for its company culture and community contribution. Infinum Academy and Infinum Foundation are among notable projects through which the company’s resources are distributed to socially responsible causes.
Infinum is an independent design and development agency. Founded in 2005, the company operates from eight offices across Europe and the US. The collective of over 350 talented individuals such as designers, engineers, software testers, analysts, machine learning specialists, and business professionals work on technological solutions for major global clients.
The company’s expertise lies in developing rock-solid, functional, and beautifully designed software solutions - they accomplish this by designing, building, and scaling authentic digital experiences that deliver value and empower people to accomplish their goals.
Deloitte regularly ranks Infinum among the fastest-growing tech companies in Europe, and independent research has granted them the best employer award four times.
Aside from client projects, Infinum has launched several businesses like Productive - software for agency management, and a joint venture Porsche Digital Croatia, a digital innovation hub for high-tech solutions in the automotive sector.
Infinum is also known for its company culture and community contribution. Infinum Academy and Infinum Foundation are among notable projects through which the company’s resources are distributed to socially responsible causes.
