Regular AI Engineer (Python)
⚲ Warszawa
18 480 - 20 160 PLN netto (B2B)
Wymagania
- AI
- Python
Opis stanowiska
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.
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.
🔍 Dekoder Ogłoszenia
🔴
deliver AI services that automate business processes
Może oznaczać tworzenie prostych skryptów automatyzujących powtarzalne zadania, a nie zaawansowane systemy AI.
🔴
building robust agent-based solutions
Może oznaczać pracę z istniejącymi bibliotekami agentów, a niekoniecznie projektowanie od podstaw złożonych systemów agentowych.
🔴
Work with internal AI frameworks (extend and maintain them) and develop new components/frameworks when needed.
Może oznaczać głównie utrzymanie i drobne modyfikacje istniejących, często niedoskonałych, frameworków, a nie tworzenie innowacyjnych rozwiązań od zera.
🔴
Support business teams during application testing: troubleshoot issues, identify root causes, and propose fixes.
Może oznaczać, że będziesz głównie zajmować się debugowaniem i rozwiązywaniem problemów zgłaszanych przez użytkowników, a nie stricte rozwojem nowych funkcji.
🔴
Provide technical guidance to teams using frameworks developed by the platform group.
Może oznaczać, że będziesz głównie pełnić rolę wsparcia technicznego dla innych zespołów, a nie bezpośrednio tworzyć nowe produkty AI.