GenAI / Python Engineering Internship

Team: AI practice - Anna Yeghiazaryan

Location: Yerevan, Armenia

Commitment: Internship

Workplace Type: hybrid

What You’ll Work On:

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Our current focus is on building AI Solutions for the Finservices sector (Insurance, Hedge Funds, etc.). You will be involved in:
• Agentic Systems & RAG: Building sophisticated systems that can reason, analyze massive document sets, and automate complex workflows.
• Data Migration & Processing: Handling large-scale data transformation tasks necessary for production-grade GenAI.
• End-to-End Development: Building backends (FastAPI/Flask), integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock), and ensuring scalability.

What We Expect:

• Technical Foundation: You have a solid foundation in Python and know your way around Git and Docker
• GenAI Literacy: Experience with LLM APIs and a solid understanding of RAG principles.
• Engineering Mentality: A desire to build "real things" rather than just playing with notebooks.
• Soft Skills: Ability to learn at a high pace, work independently, and clearly communicate progress and blockers.
• Language: Upper-Intermediate English.

How To Get Started:

• Send your application: fill in all the required fields and attach your CV;
• Receive and complete the entry technical assessment task to give us an idea of your current knowledge. You should submit it within 3 days after the interview to proceed;
• Pass the initial interview with the recruiter;
• Pass the technical interview;
• Receive an invitation to the program; 
• Work hard, be curious, show good results, and you’ll get a job at Provectus!


Don't let this opportunity slip through your fingers - apply now!