Python Developer
Versatile and highly productive, the Python developer builds high-performance APIs, automated data pipelines, and integrates modern Artificial Intelligence models into business software.
- What is the role of an elite Python Developer?
- Core responsibilities of a Python Developer
- Required skills for a Python Engineer
- Background & qualifications
- Industries recruiting Python Developers
- How Faseya selects Python talent
- Career perspectives
Qualified candidates ready within 48h.
What is the role of an elite Python Developer?
The Python developer builds robust backend architectures, automated web scrapers, data workflows, and LLM-powered applications.
Whether crafting low-latency microservices with FastAPI or comprehensive web platforms with Django, they write concise, maintainable, and type-annotated code.
At Faseya Group, our Python engineers are experts in asynchronous programming, data pipeline optimization, and AI inference integration.
Core responsibilities of a Python Developer
Operating across both software engineering and data disciplines:
- ●Modern asynchronous API design - building high-speed RESTful and WebSocket endpoints using FastAPI and async Python.
- ●Generative AI & LLM integration - connecting private enterprise knowledge to LLMs via LangChain, LlamaIndex, and vector databases.
- ●Data processing & ETL pipelines - designing robust data ingestion and transformation pipelines using Pandas, Polars, and Celery.
- ●Enterprise web platforms - developing secure, database-backed business applications with Django and PostgreSQL.
- ●Automated testing & quality - implementing Pytest suites, Ruff linting, and continuous automated verification.
They bridge software engineering with data science teams to create high-value operational tools.
Required skills for a Python Engineer
A senior Python developer pairs clean coding habits with deep knowledge of async I/O, database concurrency, and modern AI toolkits.
Core Technical Skills
- ●Python 3.11+, AsyncIO, Pydantic
- ●FastAPI, Django, Flask
- ●PostgreSQL, Redis, Vector Databases (Pinecone, Qdrant)
- ●Celery, Redis Queue, background workers
- ●Docker, AWS Lambda, Cloud Run
- ●Pytest, CI/CD GitHub Actions
Complementary & Soft Skills
- ●LangChain, LlamaIndex, OpenAI/Claude API
- ●Pandas, Polars, NumPy
- ●GraphQL, WebSockets
- ●GraphQL, Poetry, uv, Ruff
Background & qualifications
Degree in Computer Science, Data Engineering, Applied Mathematics, or proven self-taught track record with open-source contributions.
Industries recruiting Python Developers
- ●AI startups and generative AI solution vendors
- ●Data-intensive enterprise SaaS platforms
- ●Fintech, algorithmic trading, and quantitative analytics
- ●Digital agencies and industrial automation firms
How Faseya selects Python talent
We test candidates on async patterns, memory profiling, clean API design, and practical LLM integration challenges.
Career perspectives
Career paths include Senior Python Engineer, AI Engineer, Lead Data Engineer, or Solution Architect.
Hire a Python Developer ?
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