GenAI Engineering Internship

Posted Yesterday
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3 Locations
In-Office or Remote
Internship
Artificial Intelligence • Information Technology • Consulting
The Role
Three-month unpaid, on-site internship building production-grade GenAI solutions for financial clients: develop agentic systems and RAG pipelines, build backends with FastAPI/Flask, integrate top LLMs, handle large-scale data migrations, and work with mentors with potential full-time offers.
Summary Generated by Built In
Stop watching tutorials and start building production-grade AI. We are looking for interns in Madrid, Barcelona and Valencia in Spain who are driven by tech challenges and ready to dive deep into the world of Generative AI.
 
This is a high-stakes, 3-month unpaid program where you will work on-site with mentors on real-world solutions for global financial institutions (Hedge Funds, Insurance, etc.).
 
Our goal is simple: We want to find our next Associate or Junior Engineers. If you prove your grit and deliver results by the end of 3-month program, offer is yours!

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 remotely from Madrid, Barecelona or Valencia

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
  • 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 the end of July 2026
  • The Work: You’ll be online in Spain, working through practical tasks and mentoring sessions on production-grade projects
  • 4. The Final Call
  • The Result: Top performers who have proven their grit will receive a Full-time offer to join Provectus as a Junior or Associate Engineer

Skills Required

  • Solid foundation in Python
  • Proficiency with Git
  • Familiarity with Docker
  • Ability to develop backends using FastAPI or Flask
  • Experience or ability to integrate and work with LLMs (OpenAI, Anthropic, AWS Bedrock)
  • Knowledge or interest in RAG pipelines and agentic systems
  • Experience handling large-scale data processing and migrations for production
  • Effective English communication
  • Willingness and ability to work on-site in Novi Sad
  • Comfort using developer-assist tools (Cursor, Claude Code, LLM-assisted coding)
  • Proactive problem-solving and self-driven engineering mindset
Am I A Good Fit?
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The Company
HQ: Palo Alto, CA
572 Employees
Year Founded: 2010

What We Do

Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI. We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees. Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.

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