Applied Scientist (LLM)

About the Position

Applied Scientist (LLM)

Kyiv; Lviv; Remote

Our distributed team is looking for an experienced Applied Scientist with a strong background in Large Language models to develop high-performance Generative AI features across Cloud and Edge environments.

Responsibilities

• Design and implement advanced methods in prompt orchestration, fine-tuning (SFT/RLHF/DPO), and autonomous agentic workflows
• Curate high-quality training data from large-scale text and multi-modal sources
• Identify patterns in model hallucinations and visualize evaluation metrics for clear interpretation
• Tune hyperparameters and improve inference speed/accuracy through PEFT (LoRA/QLoRA) and advanced prompt engineering
• Collaborate with Product and Data Engineering teams to seamlessly integrate LLM features into the broader ecosystem
• Track and report progress using industry-standard benchmarks (MMLU, HumanEval, etc.) and custom internal KPIs
• Stay at the forefront of the field (e.g., State Space Models, new Transformer variants) and evaluate cutting-edge techniques for production readiness
• Engage in continuous technical growth and mentor junior colleagues to elevate the team's expertise

Requirements

• 3+ years of commercial experience in Machine Learning, with a specific focus on the NLP or LLM domain
• Strong knowledge of Python3, NumPy, pandas, PyTorch, and Hugging Face (Transformers, PEFT, Accelerate)
• Proficiency in PEFT/LoRA and Reinforcement Learning techniques
• Deep understanding of attention mechanisms, tokenization, context window management, and embedding spaces
• Practical experience in at least one of the following: Retrieval-Augmented Generation (RAG), Fine-tuning, or Agentic frameworks
• Proven ability to manage and analyze massive datasets (>100GB) across text, image, and audio formats
• Hands-on experience crafting high-fidelity datasets and building robust data pipelines
• Expertise in prompt engineering, agentic framework design, and LLM pipeline orchestration
• Experience deploying LLMs to production environments using Triton Inference Server, vLLM, TGI, or ONNX
• Good written and spoken English

Nice to Have

• Practical experience with Pinecone, Weaviate, Milvus, or Chroma
• Advanced quantization (GGUF, AWQ, EXL2), pruning, and knowledge distillation
• Experience with LangChain, LlamaIndex, or AutoGen
• Basic understanding of web/client-server architecture and streaming API responses (Asyncio, aiohttp)
• Familiarity with RAGAS, DeepEval, or G-Eval
• Experience using Docker, Kubernetes, and cloud GPU orchestration (e.g., Run:ai, Lambda Labs)
• Knowledge of C++, Triton, or CUDA for custom kernel development

We Offer

• The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member
• Competitive compensation and perks
• Gig-contract
• 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation
• Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves
• Medical insurance is provided from day one. Sick leaves and medical leaves are available
• Remote working mode is available within Ukraine only
• Free meals, fruits, and snacks when working in the office.