AI/ML Engineer – NLP & LLM Specialist

Introduction & Summary:We're on the hunt for a top-tier AI/ML Engineer with deep hands-on experience in building production-grade NLP, GenAI, and LLM-driven systems.If you thrive in solving complex retrieval problems, designing robust RAG architectures, and fine-tuning large-scale LLMs—this is the role built for you.This is not a research-only job. This is real engineering, building enterprise-level GenAI products that ship.12-month B2B contract (with extension) | Full-time | Remote (Preferably Poland, also open to Ukraine/Romania/CEE)Why this role is exctiting:You’ll work on the most advanced AI tech stack in production today:GraphRAG deployments at scaleHybrid Retrieval systems combining vector search + classical searchFine-tuning LLMs (GPT, LLaMA, Falcon) using LoRA/PEFTEnterprise RAG pipelines using Weaviate’s Ignition FrameworkGenerative AI apps powering real users + real business impactA team that actually understands GenAI engineering—not just prompt tinkeringMain Responsibilities:In this role, you will be responsible for developing and deploying advanced AI solutions.Architect and deploy GraphRAG systems using Neo4j + Weaviate/VectorDBsBuild Hybrid Retrieval pipelines (FAISS / Milvus + BM25)Fine-tune LLMs with LoRA/PEFT for high-performance domain adaptationCreate scalable GenAI workflows using LangChain, LangGraph, Hugging FaceImplement and extend Weaviate’s Ignition Framework (mandatory)Deploy solutions on AWS / GCP / Azure using strong MLOps disciplineEvaluate/optimize retrieval, ranking, latency, and generation qualityCollaborate with engineering + product teams to build production AI systemsMaintain high-quality documentation, monitoring, and model lifecycle managementKey Requirements:5–8+ years of hands-on AI/ML engineering with production deployments.Strong NLP + LLM experience including:LoRA/PEFT fine-tuningPrompt engineeringEmbeddings & retrieval optimizationPractical experience with GraphRAG, knowledge graphs, and Neo4j.Mandatory: Experience with Weaviate’s Ignition Framework.Strong Python; proficiency in PyTorch/TensorFlow.Experience with Hybrid Retrieval (FAISS, Milvus, Pinecone + BM25).Solid knowledge of vector databases and RAG pipelines.Real GenAI product experience (not academic).Strong English communication skills; ability to work with partial coverage of Poland's timezone.Nice to Have:Enterprise RAG & GraphRAG expertise.Vector search optimization capabilities.Knowledge graph integration experience.LLM fine-tuning and prompt engineering proficiency.Familiarity with Weaviate, Neo4j, LangChain.Experience in cloud deployment (AWS/GCP/Azure).Other Details:The position is full-time and may require partial time overlap with Poland hours. The preferred location is Poland, but candidates from Ukraine, Romania, or other CEE rcountries are also welcome to apply.