---
title: Python Engineer
company: apreel
category: Programista
subcategory: Python
experience_level: Regular
work_mode: remote
location: Warszawa
employment_type: B2B
salary_min: 20200
salary_max: 30200
salary_currency: PLN
salary_period: month
technologies: [Python, Fast API, Celery]
posted: 2026-06-12
valid_through: 2026-07-13
url: "https://solid.jobs/offer/33479/apreel-python-engineer"
---

# Python Engineer — apreel

## Kluczowe informacje

- **Firma:** apreel
- **Lokalizacja:** Centrum, Warszawa
- **Tryb pracy:** 100% zdalnie
- **Wynagrodzenie:** 20.2k–30.2k PLN netto/m (B2B)
- **Forma zatrudnienia:** B2B
- **Wymiar etatu:** 100%
- **Godziny pracy:** Elastyczne godziny pracy
- **Poziom doświadczenia:** Regular
- **Minimalne doświadczenie:** 5 mies.
- **Kategoria:** Programista
- **Specjalizacja:** Python
- **Data publikacji:** 2026-06-12
- **Aktywne do:** 2026-07-13

## Technologie i umiejętności

**Wymagane:**

- Python — zaawansowany
- Fast API — zaawansowany
- Celery — zaawansowany

## Języki

- Polski — ekspert
- Angielski — zaawansowany

## Opis stanowiska

As Senior Python Engineer you are the second-most-senior engineer on the AI track. You are not expected to lead LangGraph architecture, but you must be able to read it, debug it under production load, and ship safe changes around it. Your primary ownership is the FastAPI surface, the Celery topology, and the data layer.    This is a hands-on individual-contributor role with growth into a tech-lead role if you want it.    What you'll do    First 90 days     Onboard onto the FastAPI chat-api and Celery flows alongside the AI Tech Lead    Audit the FastAPI surface: routes, dependencies, middleware, streaming, error handling    Audit the Celery topology: queues, workers, retry policy, scheduled jobs, dead-letter handling    Profile and document the multi-datastore patterns (Mongo + Redis + Postgres) and any race-condition risks    Help build evaluation and regression test infrastructure     Ongoing     Own the FastAPI service health (response time, error rates, streaming reliability)    Own the Celery operational layer (queue lag, worker health, dead-letters)    Implement new endpoints and async flows alongside agent changes from the AI Tech Lead    Participate in on-call rotation for the AI core    Pair with mid-level Python engineers as the squad grows

## Kogo szukamy

Must-have skills:     5+ years Python in production    Production FastAPI experience — async routes, dependency injection, middleware, streaming responses, OpenAPI generation    Celery + Redis broker — building and operating task queues at scale, understanding retry semantics, queue routing, scheduled jobs    Async Python — asyncio depth, structured concurrency, knowing when async helps and when it hurts    MongoDB in production (PyMongo or Motor)    Postgres in production — schema design, indexing, transactions, basic query tuning    Redis as both cache and broker    Pydantic v2 fluency, type-hinted code, mypy or pyright comfort    pytest including pytest-asyncio    Production debugging — logs, traces, profiling, identifying memory leaks    Working English     Nice-to-haves:     LLM API exposure (OpenAI, Anthropic) at consumer level — you don't need to lead AI work, but you should be able to follow it    LangChain awareness (not LangGraph depth)    Data engineering or ETL background    Datadog APM with Python    Knowledge of fitness / health / wearables domain    Experience taking over a legacy codebase    Vector store exposure (pgvector, Pinecone)

## Lokalizacje

- Centrum, Warszawa, Polska

## O firmie — apreel

**Wielkość firmy:** 300

Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.

## Aplikuj

Aplikuj na: https://solid.jobs/offer/33479/apreel-python-engineer

---

*Źródło: https://solid.jobs/offer/33479/apreel-python-engineer · Wygenerowano: 2026-06-12T15:21:15Z*