DS STREAM

Távmunka

2.3M – 2.8M HUF vállalkozói havonta+ÁFA

Elvárások

• Python
• Chainlit
• LLM
• Angol (B2)
• Lengyel (Anyanyelvi)

Előnyt jelentő készségek

• langchain
• langraph

A mi követelményeink

Eredeti szöveg. Fordítás megjelenítése

• Develop a full‑stack AI application prototype using Python, LLMs and Chainlit.
• Implement backend logic in Python and integrate the language model with the application.
• Build a conversational frontend interface in Chainlit for user interaction and business scenario testing.
• Collaborate on designing and evolving application flows powered by LLMs.
• Take part in building and iteratively improving a working proof of concept (from the first version to subsequent iterations).

Pozíció / projekt rövid leírása

Eredeti szöveg. Fordítás megjelenítése

We are looking for a Fullstack Developer to join a project focused on building an AI application prototype based on Python, LLMs and Chainlit. You will work end‑to‑end: from backend logic and language model integration to the conversational frontend interface built in Chainlit. We are looking for someone who wants to really play with a modern AI stack (LLM apps) and have a tangible impact on the shape of the solution, rather than just ticking off predefined tickets.

Napi feladatok

Eredeti szöveg. Fordítás megjelenítése

1. Very good knowledge of Python (writing and maintaining production‑like or production code).
2. Experience working with language‑model‑based applications (LLMs) or GenAI projects.
3. Ability to integrate language models with application logic (e.g. prompt handling, processing model responses, data validation).
4. Experience building full‑stack applications or connecting backend with a UI layer (e.g. web framework / web UI, frontend components).
5. Knowledge of Chainlit or willingness to quickly get up to speed with a framework for building conversational AI applications.
6. Ability to work with Git and a standard development workflow (branching, code reviews).
7. Experience prototyping AI products or building proofs of concept.
8. Familiarity with tools and frameworks used for building LLM applications (e.g. LangChain or other LLM‑related libraries).
9. Experience integrating external services (APIs) in Python projects.
10. Understanding of basic topics around data quality, security and privacy in AI projects.
11. Experience collaborating with business / product owners on refining use cases and user scenarios.

mutass kevesebbet

Specifikációk

• Online állásinterjú
• Toborzás nyelvei: lengyel
• Azonnali kezdés
• Távmunka
• Rugalmas munkaidő

Biztosított eszközök

• Windows
• Számítógép: Notebook
• Monitorok: Ha szükséges

Metodológia

• Agile managementScrum, Agile

Irodán belüli juttatások

• Ingyenes kávé
• Modern iroda
• Kerékpártároló
• Nincs dress code

Extrák

• Remote work
• Sportcsomag
• Képzési költségvetés
• Magánegészségügyi ellátás

JELENTKEZÉSHEZ KATTINTS IDE