GenAI / Python Engineering Internship

Team: AI practice - Anna Yeghiazaryan

Location: Novi Sad, Vojvodina

Commitment: Internship

Workplace Type: onsite

The Tech Stack & Challenges:

• Building the Future: You’ll work on Agentic Systems and RAG pipelines that automate complex business logic
• End-to-End Engineering: Develop backends using FastAPI/Flask and integrate with top-tier LLMs (OpenAI, Anthropic, AWS Bedrock)
• Vibe-Coding: We expect you to use Cursor, Claude Code, and LLMs as superpowers to speed up development and focus on high-level architecture
• Real Data: Handling large-scale data processing and migrations for production environments

Who You Are:

• You have a solid foundation in Python and know your way around Git and Docker
• You don't wait for a Jira ticket—you see a problem and you start figuring out how to build the solution
• You are fascinated by GenAI and want to see how RAG works in a real production environment
• You can communicate effectively in English and are ready to work on-site in Novi Sad

How to Join & What to Expect:

• We move fast, and we expect you to do the same. Here is the step-by-step process and the key dates for the program:


1. Application & Fast-Track Task
• Deadline: Submit your CV before March 8th
• The Test: Once you apply, you’ll receive an entry technical assessment. You have 3 days to submit it and show us your engineering logic
2. The Selection Rounds
• Recruiter Screening: A brief call to talk about your motivation and expectations
• Technical Interview: A deep dive with our engineering leads into your Python skills and GenAI curiosity
3. The 3-Month Sprint
• Kick-off: The program will start in April 6th
• The Work: You’ll be on-site in Novi Sad, working through practical tasks and mentoring sessions on production-grade projects
4. The Final Call
• Decision Day: On July 6th, we make the final hiring decisions
• The Result: Top performers who have proven their grit will receive a Full-time offer to join Provectus as a Junior or Associate Engineer