AI EngineerSKILLS: AI | LLM | MLOpsB2B: PLN 170 - 200 / Hour 💰LOCATION: POZNAŃ (Hybrid, 3 days per month in the Poznań office, travel reimbursement if needed)DURATION: LONG TERMKey Duties and Requirements: A Roadmap to Your Professional Success 🚀Scope of responsibilities: Build, train, fine-tune, and deploy AI and machine-learning models, including LLMs, for corporate and enterprise clients. Architect and integrate AI systems into existing backend environments Create pipelines for data preprocessing, feature engineering, model evaluation, and versioning. Implement and manage vector databases (Pinecone, Weaviate, Qdrant, Milvus) for RAG and knowledge systems. Evaluate model performance and continuously enhance accuracy, robustness, and latency. Collaborate with cross-functional teams to translate business requirements into working AI solutions. Develop internal AI tools, automation systems, and reusable frameworks for client projects. Ensure high standards of code quality, documentation, and scalability. Stay up to date with AI research, LLM capabilities, and MLOps best practices to drive innovation. Mentor team members and support building strong internal AI expertise. Here’s a set of skills we require: 5+ years of experience working with AI/ML systems in production. Strong programming skills Proven experience with vector databases (Pinecone, Weaviate, Qdrant, Milvus). Hands-on experience in setting up, training, and fine-tuning AI/LLM models (OpenAI, Azure AI, Anthropic, local models). Experience building RAG systems, embeddings pipelines, and model orchestration. Familiarity with MLOps tools (Docker, CI/CD, model deployment, cloud services). Strong understanding of data structures, APIs, distributed systems, and microservices. Experience working in a startup-like environment (high ownership, fast-paced, autonomous). Excellent problem-solving and analytical abilities. Curiosity, eagerness to experiment, and a proactive approach to learning. Strong communication and cross-team collaboration skills. Nice to have: Experience with on-premise AI deployments for corporate security needs. Knowledge of prompt engineering techniques and evaluation frameworks. Experience integrating AI into enterprise systems (SAP, Salesforce, ServiceNow). Contributions to open-source AI projects or research