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A Python Engineer (FastAPI + AI Integration) builds the data-rich services behind products and connects them to large language models. Start within 4 working days.
Fig. 01Mobile & Web
Python Engineer
Mobile & Web
AvailabilityShortlist in 48 h
Vetted Python Engineer profiles free to start within 4 working days of signature. Counts appear in bands (5–10, 10–20, 20+); below 5 a role shows “Shortlist in 48 h” instead of a number.
Indicative monthly rate per seat
| Level | Experience | From (USD / month) |
|---|---|---|
| Mid | 4–6 years | 4,450 |
| Senior | 6–9 years | 5,850 |
| Lead | 9+ years | 7,600 |
Quotation-based. VAT shown separately. View in SAR, AED, USD or EUR. Quotes valid for 30 days.
Base band: no practice rate.
A Python Engineer (FastAPI + AI Integration) builds the data-rich services behind products and connects them to large language models. Remote Pro Ai deploys vetted Python engineers within 4 working days. They build async FastAPI or Django services, add retrieval-augmented generation with pgvector, wire in OpenAI or Bedrock SDKs, and run Celery background jobs with rate limits and observability.
Your Python Engineer develops FastAPI / Django services with async performance, and builds background processing, queues and data pipelines. Typical stack: Python, FastAPI, Django, Celery and PostgreSQL.
Python with LLM integration is one of the fastest-rising product skills of 2026, as roadmaps add AI features from smart search to document summaries. A Python engineer who ships those features inside your existing product, with proper authentication, cost limits and logging, gets you there without standing up a separate AI team.
Illustrative profiles that mirror the vetted bench for this role. Names, employers, full gate scores and video introductions, where recorded, are shared after the click-through NDA.
Python Engineer
Senior9 years
Remote Pro Ai Vetted Verify credential RP-4146
Python Engineer
Lead11 years
Remote Pro Ai Vetted Verify credential RP-5765
Python Engineer
Mid5 years
Remote Pro Ai Vetted Verify credential RP-9908
Illustrative profiles that mirror the vetted bench for this role, anonymised. Names, employers, full scores and credentials are shared after the mutual NDA in the booking flow.
Develops FastAPI / Django services with async performance
Integrates LLM APIs, RAG and vector search into product features
Builds background processing, queues and data pipelines
Implements auth, rate-limiting and observability
Ships with typed code, tests and CI/CD
Toolset on our bench
We test each capability in a live technical assessment scored by a practice lead. Nothing on this list is taken from a CV.
Mid4–6 years
Delivers well-scoped work independently within your architecture and standards.
from USD 4,450/month
Senior6–9 years
Owns a component or workstream end to end, reviews code and mentors.
from USD 5,850/month
Lead9+ years
Sets technical direction, leads the squad and reports to your leadership.
from USD 7,600/month
We never place junior profiles. A practice lead confirms every level, so the band you buy is the scope you get.
No single certification defines this role, so we test the work itself: a live technical assessment scored by a practice lead, plus references from shipped projects.
Remote Pro Ai information security: ISO/IEC 27001 certification in progress (target Q2 2027) · SOC 2 Type II planned for 2027. Evidence and policies are in the Trust Center.
Not sure this is the right role? Describe the outcome you need and the Scope Agent maps it to roles, levels and a draft squad in minutes.
A Saudi insurer
Arabic GenAI knowledge assistant
6 engineers · 7 months
Bilingual RAG assistant with evaluation harness, human-in-the-loop review, monitoring, one-click rollback and PDPL-compliant logging
MatchIQ™ is our vetting and matching engine: 3.4% of applicants pass 5 gates. The live assessment for this role tests the 5 capabilities above against a realistic task, not trivia.
Self-serve bookings receive a shortlist within 48 hours and enterprise requests get named candidates within 72 hours. After you approve a profile and sign, your specialist is working within 4 working days, whether the request is on the bench, off-bench or on-site. When fewer than 5 Python Engineer profiles are on the bench, we shortlist from the wider vetted network in the same 48 hours.
Pricing is quotation-based and depends on level, hours and any on-site, clearance or data-residency needs. Current bands: Mid from USD 4,450/month · Senior from USD 5,850/month · Lead from USD 7,600/month. VAT is shown separately, quotes can be viewed in SAR, AED, USD or EUR, and every quotation is valid for 30 days. The Squad Builder shows your quote instantly.
Remote Pro Ai is contractually responsible for quality. Raise it at any time: a replacement starts within 4 working days; the full handover completes in under 14 days. Your first engagement also begins with a no-bill trial, one per company: 5 working days on self-serve bookings and 10 on enterprise contracts.
This role is offered at Mid, Senior and Lead level. We never place junior profiles. A practice lead confirms each specialist’s level through a live technical assessment and reference checks, so the band on your quotation reflects scope the person has already delivered rather than a job title on a CV.
This engineer adds AI features to products: an LLM call behind an API, retrieval over your documents, a summarisation job. The AI Engineer (Generative AI) in AI & Data owns LLM systems end to end, including evaluation frameworks, orchestration and model selection. Start here when AI is one feature among many.
FastAPI suits API-first services, async workloads and AI endpoints, with typed request models from Pydantic. Django suits products that need an admin panel, ORM and authentication out of the box. Many teams run both: Django for back-office operations and FastAPI for high-throughput or AI-facing services.
Engineers route calls through one gateway layer that applies per-user rate limits, token budgets and caching, and logs prompts and responses with personal data masked. They choose regional endpoints where data residency matters, keep secrets in a vault and add fallbacks, so a model outage degrades one feature instead of the product.
Yes. They build ingestion pipelines that chunk and embed documents, store vectors in pgvector or your chosen database and retrieve with metadata filters that respect permissions. Answers cite their sources. Before launch they run an evaluation set of real questions, so quality is measured rather than assumed, and re-run it after every change.
Add this role to a squad, see your quote instantly, and hold profiles free for 72 hours.
Build your squad online
No card needed · 72 h free hold · No-bill trial: 5 working days self-serve, 10 in the Enterprise lane.
20 minutes with a solutions architect
No sales script.