AI Academy - LLM Development: Engineering Enterprise AI Solutions

Short company description

Rinf.tech is a technology solutions and software services company founded in 2006 in Romania, grown from a small local company into a global organization with 600+ engineers and 8 Delivery Centers in Europe and North America (Romania, Bulgaria, Ukraine, Turkiye, and Mexico).

Drawing on the Engineering Excellence principle, we harness 18 years of expertise and cutting-edge technologies to deliver a powerful blend of Product & Technology Strategy, Automation & Digitalization, and unique business differentiators for blue-chip companies and SMBs across diverse industries and domains, with core practice areas in Digital Products and Platforms, Automotive, and R&D Embedded Systems.

At rinf.tech, you’ll encounter a friendly team of individuals who are passionate about pushing the boundaries of technology. RINFers are driven by curiosity, eager to learn from one another, and committed to exploring and reshaping the tech landscape. We’ve cultivated an inspiring environment where creativity thrives, ideas are shared freely, and together, we craft innovative products that make a real impact

Requirements

Python Proficiency
Solid Python programming skills. Rust and Go experience is a plus.
Experience with data manipulation using Pandas or Pola.rs and basic data processing.
Ability to write clean, maintainable code.
Development Tools
Comfortable with Jupyter or MARIMO notebooks for prototyping
Basic Git knowledge for version control
Experience with API integrations (Flask, FastAPI, Django, etc)
LLM Experience
LangChain or LlamaIndex for LLM applications
OpenAI API or similar LLM services
Basic prompt engineering concepts
Data Skills
Text data processing and cleaning
Basic understanding of embeddings
Experience with JSON and API responses
Nice to Have: Experience with vector database; Knowledge of RAG architectures; Cloud platform familiarity (AWS/GCP/Azure)

Responsibilities

LLM Development Mastery
Build production-grade LLM applications
Design efficient RAG architectures
Optimize token usage and costs
Deploy scalable AI solutions
Real Project Portfolio
Build a customer support AI agent
Develop an intelligent document processor
Create a domain-specific knowledge base
Deploy enterprise-grade chatbots
Industry Best Practices
Production deployment workflows
Security and data privacy measures
Cost optimization techniques
Performance monitoring and debugging
Career Outcomes
Direct path to rinf.tech AI Developer position
Work on real client projects and solve real business problems
Competitive salary package
International project opportunities

Benefits

• Medical subscription
• Laptop