AI Architect

A Polish technology company specializing in technology consulting and developing business solutions.

• 10+ years of experience in software architecture, including at least 5 years in AI/ML
• Strong professional experience in AI/ML architecture and hands-on engineering
• Experience with Generative AI, LLMs, RAG, and agentic AI
• Experience with LangChain, LangGraph, LlamaIndex, and/or MCP
• Experience with Python and AI/ML frameworks such as PyTorch, TensorFlow, Keras, or Hugging Face
• Experience with MLOps tools such as MLflow or Kubeflow
• Experience with Docker and Kubernetes
• Knowledge of vector stores such as Milvus, Chroma, or Pinecone and graph databases such as Neo4j
• Experience with AWS, Azure, or GCP
• Experience designing enterprise-grade AI solutions with appropriate security and governance

• Design and develop scalable, secure, and resilient AI solutions integrated with developer tooling
• Architect and implement GenAI assistants, RAG pipelines, MCP clients/servers, and agentic workflows
• Design AI components for IDE extensions, EMF-based models, code generators, and configuration pipelines
• Work with LLMs such as GPT, Claude, Llama, and custom fine-tuned models
• Build RAG solutions based on AUTOSAR and Non-AUTOSAR specifications, ARXML schemas, EMF metamodels, and domain-specific knowledge
• Implement AI solutions using frameworks such as LangChain, LangGraph, LlamaIndex, and MCP
• Design and optimize ML models, embeddings, and AI evaluation processes
• Implement MLOps pipelines covering training, validation, inference, monitoring, and continuous improvement
• Deploy and scale AI workloads using Docker and Kubernetes
• Work with vector databases and graph databases for semantic retrieval and reasoning
• Integrate AI services with APIs, microservices, and cloud platforms such as AWS, Azure, or GCP
• Ensure security, governance, privacy, and observability of AI solutions

Wyrażam zgodę na przetwarzanie moich danych osobowych dla celów związanych z rekrutacją przez KUBO Sp. z o. o. Spółka komandytowa z siedzibą w Toruniu (kod: 87-100) przy ul. Jęczmiennej 3/1, jako administratora danych, zgodnie z ogólnym rozporządzeniem o ochronie danych osobowych z dnia 26 kwietnia 2016r. (Dz. Urz. UE L 2016, Nr 119, RODO). Mam świadomość przysługującego mi prawa do cofnięcia zgody w dowolnym momencie bez wpływu na zgodność z prawem przetwarzania, którego dokonano na podstawie zgody przed jej cofnięciem.