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HIRE FILIPINO PYTHON DEVELOPERS

Hire Senior Filipino Python Developers from $25/hr

Vetted senior Python engineers — 5+ years production Python, Django/FastAPI/Flask, Celery for async, Pandas/NumPy for data, with AI/ML and data engineering specializations available. Direct hire, no agency markup.

Python is the language of choice for AI/ML backends, data engineering pipelines, and modern API services. The Filipino senior Python engineers I source have shipped FastAPI services backing AI products, Django platforms running at million-user scale, and ETL pipelines processing terabytes daily. Specializations available for AI/ML, data engineering, devops automation, and quantitative work.

$25

Starting hourly rate (USD)

AI/ML

Specialty bench available

5-10

Days to vetted shortlist

Why hire Python developers from the Philippines

1

Senior Python talent at $25-55/hr — 60% below US rates

US senior Python devs run $90-160/hr through agencies. Same skill profile in Manila: $25-55/hr direct. AI/ML specialists land at $35-65/hr.

2

Strong AI/ML and data engineering bench

Filipino Python community has invested heavily in AI/ML and data work post-2022. Vetted devs have shipped LLM orchestration backends, RAG pipelines, embedding systems, training/fine-tuning workflows, and Airflow/Prefect data pipelines.

3

Modern Python stack — not Python 2 holdovers

Vetted devs work in Python 3.11+, FastAPI with async/await, Pydantic v2, SQLAlchemy 2.0 or Tortoise ORM, Pytest, Ruff for linting, Poetry or uv for packaging.

4

Real timezone overlap with US, Canada, Australia, EU

Manila is +13 hrs from Pacific, +16 from Eastern, +3 from Sydney, +6-8 from Western Europe. Senior devs keep evening blocks (PHT) for live US standups or morning blocks for Sydney/EU teams.

What this engagement covers

  • Direct senior Python developer hire (1099 contractor or your-EOR W-2)
  • Specialty bands: web/API (Django, FastAPI, Flask), data engineering (Airflow, Spark, dbt), AI/ML (PyTorch, transformers, vector DBs)
  • Pre-vetted shortlists in 5-10 business days
  • Live technical interviews with my second-opinion read
  • Trial paid project (1-2 weeks) before long-term commitment
  • 30-day fit guarantee with no-cost replacement
  • Stack pairings: Python + React, Python + Vue, Python + React Native (FastAPI BFF), Python + Next.js (RPC layer)
  • Optional fractional CTO seat to oversee technical integration

Frequently asked questions

What does "senior Python" mean in your shortlists?

5+ years production Python (mostly post-Python-3.7), shipped at least one app to production scale, comfortable with async patterns, type hints, packaging, deployment. AI/ML specialists additionally have shipped at least one LLM-backed product or trained/fine-tuned a model in production.

Can you source data engineers vs web/API engineers vs ML engineers separately?

Yes — these are different skill profiles even though all use Python. Web/API specialists know Django/FastAPI deeply. Data engineers know Airflow, Spark, dbt, warehouse architecture. ML engineers know PyTorch, transformers, training infra, evaluation. We match the shortlist to the actual need.

What about LLM and AI integration experience?

Strong bench — many Filipino senior Python devs pivoted into LLM/AI work in 2023-2024. Production experience with OpenAI/Anthropic/Gemini APIs, vector databases (Pinecone, Weaviate, pgvector, Qdrant), RAG pipelines, LangChain/LlamaIndex, plus custom agent frameworks. Specifically request "LLM-experienced" if that is your need.

Direct contractor or you handle the contract / payroll?

Both options. Most US clients hire directly as 1099 contractor or via Deel/Remote/Pilot EOR for W-2-style benefits. For zero-overhead clients I can bill as prime contractor and pay the developer underneath at managed-service markup.

How fast from "I want to hire" to onboarded engineer?

Typical: shortlist in 5-10 business days, interviews over 1-2 weeks, paid trial week immediately after offer. End-to-end usually 3-5 weeks from kickoff to fully onboarded. AI/ML specialists may take 2-3 extra days for the shortlist due to a thinner bench.

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