Must have

• Python

• Azure

• Langchain

• Kafka

• English

• Polish

Requirements description

AI Engineer role is to design and implement intelligent systems using agentic AI capable of autonomous decision-making and task execution by integrating advanced machine learning models with reasoning, planning, and interaction capabilities.

• Advanced Python proficiency, especially in scalable, clean code architecture and microservices (e.g., FastAPI, Flask, asyncio)

• Solid understanding of API integration patterns and inter-servic communication (e.g. REST, Kafka)

• Experience with authentication and authorization mechanisms (e.g. OAuth2, JWT, Azure AD)

• At least two ML/AI solutions delivered to production, ideally involving document understanding, NLP or search/retrieval systems

• Practical knowledge and hands-on experience with: RAG architectures, LLMs (e.g., OpenAI, Antropic), Vector databases (e.g., FAISS, Azure AI Search), Embeddings (e.g., OpenAI)

• Strong grasp of NLP techniques: named entity recognition (NER), document classification, chunking, summarization, question answering.

• Ability to evaluate trade-offs and select appropriate ML/AI techniques for a given problem.

• Experience with PoC development and iterating quickly based on results.

• Familiarity with LangChain, LlamaIndex, or similar agentic frameworks.

• Strong debugging, profiling, and optimization skills for AI applications.

Skills: Python, LLM, Prompt engineering, Vector databases, RAG architecture, Agentic libraries(Lang chain/Lang graph/Autogen), Computer Vision, Document Processing