Hey! Feel free to complete this short task to make us sure that you are really interested in working with us. Share your result with Viktoria via Tg.

<aside> 👉🏼

Deadlines: 2 working days from the moment of receiving the test task.

</aside>

Link to job description

Python developer for AI

What to build

1. LangGraph stateless chat graph — the bot replies to each user message.

2. Agent using tool get_current_time that the LLM calls when the user asks for the time. E.g:

   def get_current_time() -> dict:
       """Return the current UTC time in ISO‑8601 format.
       Example → {"utc": "2025‑05‑21T06:42:00Z"}"""
   
   

3. Launch with langgraph dev. Ensure your project structure supports this.

4. Minimal repo — a single Python file, requirements.txt, and a short README.

Constraints

• Any model is fine (GPT, Gemini, DeepSeek, Ollama with local models, …).
• If you depend on Ollama or other local runners, include exact setup commands (ollama pull …, default port, etc.).
• No memory or databases. Exactly one tool (get_current_time).
• Hard time‑box: up to 90  minutes — push whatever runs.

How we’ll run it

git clone <your_repo>
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
langgraph dev

If during multi-turn conversation asking “What time is it?” triggers the tool and returns the correct time, you pass 🌝 and we can proceed to the next part (interview).