Principal AI Engineer – LLM & NLP
⚲ Budapest
21 403 - 28 538 PLN (PERMANENT)
Wymagania
- Python
- Machine learning
- NLP
- RAG
- retrieval-augmented generation
- PhD
- Natural language processing
- large language models
- GraphRag
- MLOps
Opis stanowiska
O projekcie:
Our international partner is looking for a Principal AI Engineer – LLM & NLP to lead the design and evolution of advanced Natural Language Processing and Large Language Model solutions used in real-world business applications.
This is an expert role for someone who enjoys combining research with hands-on engineering. You will play a key role in developing intelligent language-based systems that improve automation, information extraction, semantic understanding, and AI-driven decision making across enterprise platforms.
Wymagania:
- PhD in Computer Science,
Artificial Intelligence, Machine Learning, Computational Linguistics, Data
Science, Applied Mathematics, or a related discipline
- 5+ years of professional
experience in AI, Machine Learning, or Natural Language Processing
- At least 5 years of practical
experience delivering NLP solutions in production environments
- Strong expertise in Transformer
architectures, embeddings, attention mechanisms, fine-tuning, and modern
deep learning techniques
- Hands-on experience with Large
Language Models, prompt engineering, model evaluation, and RAG-based
applications
- Solid knowledge of NLP
techniques including text classification, information extraction, semantic
similarity, text generation, and NER
- Excellent Python programming
skills
- Strong experience with PyTorch
and Hugging Face Transformers
- Experience with data
preparation, annotation workflows, and model performance evaluation
- Familiarity with SQL and cloud
platforms such as Azure or AWS
- Excellent English communication
skills
Codzienne zadania:
- • Design and develop production-ready NLP and LLM solutions
- • Build intelligent systems for text classification, named entity recognition, semantic search, document understanding, and information extraction
- • Evaluate, fine-tune, and optimize modern language models
- • Design retrieval-augmented generation (RAG) solutions and semantic retrieval architectures
- • Work with structured and unstructured business data to improve AI-assisted workflows
- • Define model evaluation methodologies, success metrics, and validation standards
- • Collaborate with software engineers, data engineers, product managers, and annotation teams throughout the entire development lifecycle
- • Research emerging AI technologies and translate promising approaches into practical business solutions
Our international partner is looking for a Principal AI Engineer – LLM & NLP to lead the design and evolution of advanced Natural Language Processing and Large Language Model solutions used in real-world business applications.
This is an expert role for someone who enjoys combining research with hands-on engineering. You will play a key role in developing intelligent language-based systems that improve automation, information extraction, semantic understanding, and AI-driven decision making across enterprise platforms.
Wymagania:
- PhD in Computer Science,
Artificial Intelligence, Machine Learning, Computational Linguistics, Data
Science, Applied Mathematics, or a related discipline
- 5+ years of professional
experience in AI, Machine Learning, or Natural Language Processing
- At least 5 years of practical
experience delivering NLP solutions in production environments
- Strong expertise in Transformer
architectures, embeddings, attention mechanisms, fine-tuning, and modern
deep learning techniques
- Hands-on experience with Large
Language Models, prompt engineering, model evaluation, and RAG-based
applications
- Solid knowledge of NLP
techniques including text classification, information extraction, semantic
similarity, text generation, and NER
- Excellent Python programming
skills
- Strong experience with PyTorch
and Hugging Face Transformers
- Experience with data
preparation, annotation workflows, and model performance evaluation
- Familiarity with SQL and cloud
platforms such as Azure or AWS
- Excellent English communication
skills
Codzienne zadania:
- • Design and develop production-ready NLP and LLM solutions
- • Build intelligent systems for text classification, named entity recognition, semantic search, document understanding, and information extraction
- • Evaluate, fine-tune, and optimize modern language models
- • Design retrieval-augmented generation (RAG) solutions and semantic retrieval architectures
- • Work with structured and unstructured business data to improve AI-assisted workflows
- • Define model evaluation methodologies, success metrics, and validation standards
- • Collaborate with software engineers, data engineers, product managers, and annotation teams throughout the entire development lifecycle
- • Research emerging AI technologies and translate promising approaches into practical business solutions
🔍 Dekoder Ogłoszenia
🔴
lead the design and evolution of advanced Natural Language Processing and Large Language Model solutions
Oczekuje się, że będziesz nie tylko implementować, ale przede wszystkim projektować i kierować rozwojem całych rozwiązań LLM/NLP.
🔴
combining research with hands-on engineering
Może oznaczać zarówno ciekawe wyzwania badawcze, jak i konieczność pisania kodu produkcyjnego, często w pośpiechu.
🔴
play a key role in developing intelligent language-based systems
Będziesz odpowiedzialny za kluczowe elementy systemu, co może oznaczać dużą presję i odpowiedzialność.
🔴
used in real-world business applications
Rozwiązania, nad którymi będziesz pracować, będą miały bezpośredni wpływ na działanie firmy, co może wiązać się z presją na wyniki i terminy.
🔴
PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, Data Science, Applied Mathematics, or a related discipline
Wymagany jest stopień naukowy, co może sugerować, że firma ceni sobie głębokie teoretyczne podstawy, ale też może oznaczać, że szukają kogoś z akademickim podejściem, a niekoniecznie z doświadczeniem w szybkim wdrażaniu rozwiązań.