Regular AI Engineer (Python)

We are looking for an experienced AI Engineer with strong Python skills (min. 3 years) and at least 1 year of hands-on experience building and deploying LLM-based applications (or AI solutions used in production projects). The role focuses on delivering AI services that automate business processes and on building robust agent-based solutions, including RAG and multi-step agentic workflows. Responsibilities: Build AI services and applications in Python to support process automation. Develop LLM-based bots and assistants, including RAG solutions and multi-step task agents. Implement agentic workflows: define agent roles, integrate tools, control execution flow, and handle failures. Work with internal AI frameworks (extend and maintain them) and develop new components/frameworks when needed. Support business teams during application testing: troubleshoot issues, identify root causes, and propose fixes. Ensure consistency, maintainability, and high quality of delivered solutions (standards, reviews, best practices). Collaborate with other platform teams and with business teams consuming platform capabilities. Provide technical guidance to teams using frameworks developed by the platform group. Must-have's: Very good knowledge of Python (min. 3 years). Practical experience with LangChain and LangGraph. Strong understanding and hands-on use of: RAG Embeddings / Vector Search LLM Agents / Agentic Workflows Tool Calling At least 1 year of practical experience delivering LLM-based solutions (including RAG and/or agents) in real projects. Strong Git skills, including advanced history/branch management (rebase, cherry-pick, revert, squash, rewriting commit order/messages). Experience working with Jira, Confluence, Bitbucket. Nice to have's: Azure AI stack knowledge: AI Foundry / Azure OpenAI / Azure AI Search. Experience with Databricks, Cosmos DB, Redis, Grafana. Basic UI skills using React or Streamlit (e.g., internal demos/tools). Understanding of ML basics and topics like LLM fine-tuning. Ability to design system architecture and produce High-Level Design documentation.