Teams at Infobip

AI Engineering Interns will develop and experiment with machine learning solutions, build Python APIs and production-ready AI services, process large datasets, and create LLM-based agentic workflows. The role includes model evaluation, integration with AI providers, testing, deployment, and collaboration with engineering and product teams. Candidates should be final-year IT-related students with Python knowledge, English fluency, valid student rights, and availability for a six-month, minimum 30-hour-per-week internship beginning February 2027.

Supports telecom solution engineering projects through technical calls, solution design, demo and proof-of-concept preparation, requirements gathering, testing, reporting, documentation, and project tracking. The intern rotates across CPaaS, Network APIs, messaging security, RCS, and Voice products while learning telecom integration and delivery processes. The role also uses AI tools to automate reporting, documentation, and testing, with mentorship and increasing ownership over six months.

AI Engineering Interns will develop and evaluate AI/ML solutions, process large datasets, build Python APIs with FastAPI, and create LLM-powered agentic workflows. The role includes integrating AI providers, applying evaluation and context-engineering practices, writing reliable code, and deploying services with Git, Docker, Kubernetes, and Jenkins. Interns work onsite in agile teams, receive mentorship, and participate in a February–August program with potential for full-time employment.