Mid/ Senior Generative AI Developer (RAG & Automation)
ATTRECTO Zrt.
⚲ Budapest, Győr
13 341 - 20 012 PLN (PERMANENT)
Wymagania
- Degree
- Phyton
- RAG
- LLM
- Langchain
- LangGraph
- Azure
- MLOps/LLMOps
- Software engineering principles
- GenAI
- Python
- AI Agents (nice to have)
- No-code/low-code platforms (nice to have)
Opis stanowiska
O projekcie: Do you know the difference between LLMs, RLMs, VLM, and SLMs? Do you have a favorite model for each AI task you perform? Do you get excited about building RAG pipelines, Agentic workflows, optimizing prompts, and turning PoCs into production-grade solutions? Would you love to be part of a greenfield project where you can shape architecture, technology choices, and best practices from day one? Are you one of the experts who is lost in the ocean of daily news, but is still trying to keep up? If the answer is yes, we are looking for you! We are one of Hungary’s fastest-growing software development companies (founded in 2010, now 60+ people strong), with a friendly, geeky, and people-first culture. What We Offer - Innovative, greenfield projects where your ideas matter - Personal Growth Plan: Training, education, and real career growth opportunity in our Growth Program - Training, education, and real career growth opportunities - Flexible hybrid/remote work setup - People-first, supportive, and geek-friendly culture - Community events, team-buildings, sports, and a fun, balanced work environment If you’re ready to build meaningful AI products, not just prototypes, let’s talk! Apply now and help us shape the future of Generative AI! :) The final offer is negotiable based on your experiences and professional background. Wymagania: What makes you a great fit: - Degree in Computer Science, Software Engineering, Data Science, AI/ML, or a related field - 5+ years of Python experience with a strong engineering background - Proven, hands-on experience with LLMs, RAG, Agents, vector and graph databases, LangChain/LangGraph, and/or Azure AI services - Knowledge of MLOps/LLMOps best practices (prompt evaluation, monitoring, CI/CD for models) - Familiarity with data pipelines, cloud platforms (Azure, GCP), and scalable deployments - Solid understanding of software engineering principles (testing, debugging, version control, CI/CD) - Strong analytical skills, problem-solving mindset, and a passion for AI innovation - Advanced English (written & spoken) - Experience in building AI Agents is an advantage - Product mindset: thinking beyond code, focusing on usability, documentation, and maintainability Codzienne zadania: - Design and build scalable, production-ready Generative AI solutions (RAG pipelines, Agents, custom integrations) - Collaborate with cross-functional, distributed teams to integrate AI into real-world products - Gather, analyze, and refine requirements, turning ideas into well-defined deliverables - Evolve proof-of-concepts into robust, documented, versioned solutions that can scale and be reused - Deploy solutions to cloud and on-prem environments, ensuring reliability and performance - Stay ahead of the curve in GenAI, RAG, LangChain, LangGraph, MLOps/LLMOps, and emerging AI tech