Regular AI Engineer (Python)

• 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:

• 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.

• 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.