Requirements: * Core Software Engineering: 5 + years Python 3.x; strong proficiency with FastAPI, Django or Flask; Git, unit testing, CI/CD, Docker; * ML / Data Science: Hands-on with TensorFlow, PyTorch, NumPy, Pandas; ability to train, fine-tune, and evaluate ML/LLM models; * Generative AI & LLMs: Practical knowledge of leading models (GPT-4o, Claude 3, Gemini 1.5, Mistral, Llama-3 ...); working with them via public APIs, self-hosting or managed platforms (AWS Bedrock, Azure OpenAI, GCP Vertex); * LLM Techniques: Retrieval-Augmented Generation (RAG), Supervised Fine-Tuning (SFT), Parameter-Efficient Fine-Tuning (LoRA/QLoRA/PEFT), Reinforcement Learning from Human Feedback (RLHF), prompt engineering and evaluation; * Chatbots & Agents: Designing multi-turn conversational flows, tool invocation, agent routing/orchestration with LangChain, LlamaIndex, CrewAI, Semantic Kernel or similar; * Vector Databases: Experience with FAISS, Milvus, Pinecone, Weaviate, Chroma, pgvector (indexing, similarity search, hybrid search); * MCP Servers: Building and integrating Model Context Protocol (MCP) servers to securely expose domain tools/functions to LLMs; * Automation Platforms: Advanced use of no-/low-code tools: n8n, Make (Integromat), Zapier (triggers, webhooks, custom modules); * Soft Skills: Ownership mindset, rapid prototyping, clear technical writing; English at Upper-Intermediate (B2) or higher.
Key Responsibilities: * Design & build end-to-end LLM workflows in Python (FastAPI, Django or Flask) — from data ingestion to inference APIs; * Develop and fine-tune models (SFT, LoRA/QLoRA, RLHF) using PyTorch and modern open-source tooling; * Implement RAG pipelines: document parsing, embedding generation, vector search and evaluation; * Create chatbots / autonomous agents with frameworks such as LangChain, LlamaIndex, Semantic Kernel or CrewAI; * Expose tools via MCP servers so that external LLMs can invoke domain-specific actions; * Integrate no-/low-code automation (n8n, Make, Zapier) to orchestrate business workflows; * Write clean, test-driven code; set up CI/CD; monitor, log, and continuously improve model performance and system reliability.
Nice to Have: * Experience with data privacy & compliance (GDPR, SOC 2). * Operate in cloud & on-prem (Docker, GPU instances, AWS Bedrock/Azure OpenAI, self-hosted LLMs, etc.). * Familiarity with front-end stacks (React/Next.js, TypeScript) for building AI-powered user interfaces. * Bonus: Experience in Generative Graphics, including Stable Diffusion, Inpainting techniques, and ControlNets. * Bonus: Experience in LLM hosting and working with llama.cpp.
IT Craft offers: * Competitive compensation according to the qualifications; * Flexible working hours, remote work; * Opportunity for career growth; * Reward for sport activities; * In-house English training; * A friendly team of open-minded people.
