Who You are?

• This internship is a great stepping stone for aspiring AI/ML engineers, data scientists, and product-minded technologists. Students pursuing a bachelor's degree or higher technical education in disciplines like Computer Science, Information Technology, AI/ML, Data Science, and Information Science & Engineering are especially encouraged to apply as well.
• Successful candidates will fit the following profile, which reflects both our technical needs and team culture:
- Experience with Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow);- Knowledge of NLP, GenAI, and LLMs;- Basic knowledge of Docker and Git;- Upper-intermediate level of English;- Analyticak thinking skills and problem-solving skills;- Ability to learn quickly;- Ability to work independently and adapt to a fast-paced environment;- Ability to collaborate effectively across groups and cultures.

What You’ll Work On:

• RAG Pipelines – Assist in building and optimizing Retrieval-Augmented Generation workflows;
• Agentic Workflows – Help design and experiment with autonomous agents for task automation;
• Data Work – Scrape, curate, and label domain-specific datasets to train and evaluate models;
• Demos & Presentations – Support the development of GenAI-powered demos and help communicate results to technical and non-technical audiences.

Expectations From You:

• Growth Mindset & Curiosity:
- Show initiative, rapid learning ability, and openness to new ideas;- Actively seek feedback and iterate on work products and approaches;- Demonstrate increasing independence and responsibility over time.
• Technical Execution:
- Contribute to internal initiatives such as MVP development of internal tools or accelerators, demos and prototypes for future offerings, and research-driven experiments (e.g., GenAI, ML ops automation);- Write clean, modular, and maintainable code following our internal standards.
• Collaboration & Communication:
- Work closely with assigned mentors and cross-functional team members;- Participate in regular check-ins, team meetings, and demo days;- Clearly communicate progress, blockers, and learnings.

What you’ll get?

• Practical experience with LLMs, vector databases, and orchestration tools;
• We will help you explore emerging technologies and best practices that the market demands;
• Exposure to real-world challenges and rapid prototyping;
• Guidance from seasoned Provectus professionals in the field of AI and ML, helping you navigate challenges and enhance your learning experience;
• Practice-oriented approach. A chance to contribute to meaningful internal GenAI products;
• A portfolio-building opportunity that can set you up for a full-time role with us or accelerate your career in the field;
• Remote role with the possibility of working in-office, depending on location.

How To Get Started?

• Send your application: fill in all the required fields and attach your CV;
• Pass the initial interview with the recruiter;
• Receive and complete the entry technical assessment task to give us an idea of your current knowledge. You should submit it within 5 days after the interview to proceed;
• Pass the technical interview;
• Receive an invitation to the program and start on May 1st; 
• 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!