AI & Data Technologies
Hire Python developers: 95 vetted specialists
Remote Pro Ai provides vetted Python developers from a daily bench of 95 specialists, each with at least 4 years of production experience. Choose Mid, Senior or Lead engineers or a full squad, receive named candidates within 72 hours, and your Python engineer starts within 4 working days of approval.
95 vetted Python specialists on the bench, 5–10 available now. Named candidates within 72 hours.
Python
AI & Data
95Vetted Python specialists
Available this week: 5–10 · Snapshot, updated daily at 09:00 Riyadh time
Python rate bands by seniority
- Midfrom USD 5,560
- Seniorfrom USD 7,310
- Leadfrom USD 9,500
What clients hire Python engineers to build
Python is the working language of AI, data engineering and fast API development. Our Python bench spans 3 profiles: AI and ML engineers who build retrieval, agents and models; data engineers who run Spark, Airflow and dbt pipelines; and product engineers who ship FastAPI and Django services. Each one passes a live exercise in their own specialism, never a generic syntax quiz.
- Retrieval assistants on private documents
- PySpark and Airflow data pipelines
- FastAPI services with LLM features
Anonymised Python profiles from the bench
Python rate bands by seniority
- Mid4–6 yearsfrom USD 5,560/month
- Senior6–9 yearsfrom USD 7,310/month
- Lead9+ yearsfrom USD 9,500/month
Includes the AI & Data practice rate of +25% on the base band.
Rates appear in SAR, AED, USD or EUR with VAT separate, and include equipment, security tooling and replacement cover. Use the team cost calculator to compare with in-house hiring.
Python certifications on the bench
- AWS Machine Learning Specialty
- Databricks Data Engineer
- Azure AI Engineer Associate
Every certification is verified with the issuing body before it appears on a profile; practical assessment still decides placement.
Technologies often paired with Python
A case study from the AI & Data practice
Case B-02
a bilingual RAG assistant for a Saudi insurer (–52% handling time)
The case study shows the practice’s delivery record; it does not imply every technology on this page was used in that engagement.
Python hiring questions
Submit the role, level and start date and you receive named, vetted Python candidates within 72 hours, or a 48-hour shortlist in the self-serve flow. After approval, a bench engineer starts within 4 working days. Specialists not currently on the bench also start within 4 working days.
3 bands only, written as Mid (4–6 years), Senior (6–9 years) and Lead (9+ years). We do not place junior engineers. The practice lead confirms seniority during vetting, so a Senior Python engineer has shown Senior-level judgement in our assessment, not just on a CV.
Pricing is by quotation. Mid engineers start from USD 4,450 a month, Senior from USD 5,850 and Lead from USD 7,600, shown in SAR, AED, USD or EUR with VAT separate. The rate includes equipment, security tooling, governance and replacement cover, with no placement or exit fees. Quotations are itemised and valid for 30 days.
Candidates complete a live technical exercise and a practical task built around Python in real conditions, reviewed by the AI & Data practice lead. Only 3.4% of applicants pass 5 gates. Certifications are verified with the issuer but never replace the practical assessment.
Yes. Open the Squad Builder, add Python roles alongside QA, DevOps or design seats, and see instant price and bench availability. Squads run under one lead, one Statement of Work and one invoice, and every seat carries the same 4-working-day start and replacement terms.
For APIs, FastAPI and Django; for data, PySpark, Airflow and Dagster; for AI, LangChain, LangGraph, PyTorch and Hugging Face. Engineers write typed Python checked with mypy or Pyright, test with pytest and manage dependencies with Poetry or uv, so code stays maintainable as the team grows.
Yes. Python Engineers from our Mobile & Web practice integrate LLM APIs, retrieval and vector search into FastAPI or Django services, with rate limiting, logging and tests. For evaluation harnesses, fine-tuning or multi-step agents, we pair them with AI Engineers from the AI & Data practice in one squad.
Yes. Data Engineers on the Python bench build batch and streaming pipelines with PySpark, Airflow, Dagster and Kafka, model lakehouse layers on Databricks or Snowflake, and add data-quality tests and lineage. Many AI programmes should start here, because models are only as reliable as the data feeding them.
Start today
4 working daysYour team can be working within 4 working days of signature.
Build your squad online
No card needed · 72 h free hold
20 minutes with a solutions architect
No sales script.