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AI Engineer
Til-Qazyna National Scientific and Practical Center
Astana | Office: Alem.ai | Mon–Fri, 08:00–17:30
700,000 KZT gross
About Us & The Team
Til-Qazyna is a national scientific and practical center dedicated to building the core digital and AI infrastructure for the Kazakh language. We develop foundational language resources, linguistic tools, and open-source models, including custom text corpora, morphological analyzers, RAG pipelines, and fine-tuned Large Language Models.
We are looking for an AI Engineer to focus exclusively on natural language processing, corpus engineering, and LLM fine-tuning.
Key Responsibilities
- LLM Adaptation & Fine-Tuning: Fine-tune, evaluate, and benchmark open-source LLMs (Llama, Mistral, Qwen, Gemma) for Kazakh language understanding and generation using parameter-efficient methods (LoRA, QLoRA, PEFT).
- NLP & Linguistic Tooling: Develop, maintain, and optimize rule-based and neural NLP components, including morphological analyzers, lemmatizers, tokenizers, and terminology parsers.
- Corpus & Data Pipelines: Design automated pipelines for large-scale text crawling, data cleaning, deduplication, synthetic data generation, and dataset curation.
- Inference & Deployment: Package NLP models and LLMs into containerized microservices (Docker, FastAPI) and optimize inference using modern serving frameworks (vLLM, Ollama, TensorRT-LLM, ONNX).
Requirements
- 1+ years of hands-on experience as NLP / AI / Machine Learning engineer.
- Solid understanding of the Transformer architecture, attention mechanisms, embeddings, and tokenization.
- Experience with core ML/NLP libraries: PyTorch, Hugging Face (transformers, datasets, accelerate, peft), Scikit-learn .
- Experience building data preprocessing pipelines and working with structured/unstructured text data.
- Practical knowledge of Docker, Linux, and Git.
- Degree in Computer Science, Data Science, Applied Mathematics.
Nice to Have
- Hands-on experience with modern LLM serving and optimization engines (vLLM, TGI, llama.cpp, quantization techniques like AWQ/GPTQ).
- Experience with RAG stacks (LangChain, LlamaIndex, ChromaDB, Qdrant, FAISS).
- Understanding of the morphological, agglutinative, or grammatical characteristics of the Kazakh language.
- Familiarity with alignment techniques (DPO, RLHF) or synthetic data generation.
What We Offer
- Direct impact on sovereign AI development and language technology used at scale.
- Official employment in full compliance with the Labor Code of the Republic of Kazakhstan.
- Access to high-performance GPU compute clusters for model training and experimentation.
To Apply
Send your CV to @b4wer on Telegram.
info@tilqazyna.kz
