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HirePythonDevelopers

Python engineers for backend, data, AI, and the glue that holds production together.

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  • Pre-vetted senior engineers
  • 6+ years across Django / FastAPI / data
  • Type-hint-first
  • Onboarding within 5 business days

About this role

Python engineers we place.

Python is rarely just "the backend" — it is the API layer, the data pipeline, the ML training loop, and the CLI someone runs at 3am. Our Python engineers handle all of those well, with type hints, tests, and structured logging that make the second year as productive as the first.

Skills & expertise

What our python engineers cover.

  • 01

    Django & FastAPI

    Django for batteries-included business apps, FastAPI for typed async APIs. We pick deliberately and document why.

  • 02

    Data engineering

    Pandas, Polars, Apache Arrow. ETL pipelines on Airflow / Prefect / Dagster. Data quality contracts, lineage, observability.

  • 03

    ML & AI integration

    Production-grade ML serving with Ray Serve, BentoML, or NVIDIA Triton. LLM application engineering with LangChain, LlamaIndex, or hand-rolled.

  • 04

    Async & performance

    asyncio, Trio, uvloop. Profiling with py-spy, scaling under load, async database drivers.

  • 05

    Type safety & quality

    mypy at strict, ruff for linting, pytest with coverage, hypothesis for property-based testing.

  • 06

    Packaging & ops

    Modern packaging with uv / poetry. Containerised with multi-stage Dockerfiles. CI/CD on GitHub Actions.

Hiring models

Three ways to engage a python engineer.

  • Most popular

    Dedicated developer

    A senior engineer working 40 hours a week as part of your team. Daily standups, your tools, your timezone overlap.

    • Full-time on your engagement
    • Direct Slack / standup integration
    • Monthly billing on time-and-materials
    • Replacement guarantee in first two weeks
    Hire dedicated

  • Part-time / hourly

    Specialist depth on demand for short-cycle work — audits, spikes, code review, migration plans. Minimum 20 hours per month.

    • 20–80 hours per month
    • Hourly logging with weekly summary
    • Same vetting as dedicated engineers
    • Stop or scale up at any month boundary
    Hire part-time

  • Fixed-scope project

    Bounded engagement with a defined deliverable, milestone billing, and a clear exit. Best when scope is stable and timeline matters.

    • Fixed-scope SOW with milestones
    • Milestone-based billing
    • Includes hypercare on launch
    • Ideal for MVPs and audits
    Scope a project

What sets us apart

Why hire from Diglogic.

  • Typed Python, not "duck typing in production"

    mypy strict from day one. Refactors are confident, not nervous.

  • AI-native

    Our Python engineers ship LLM and ML features in production, not just notebooks.

  • Operable services

    Structured logging, distributed tracing, async-aware health checks, metrics that mean something.

  • You meet who you hire

    Same engineer end-to-end.

  • Time-zone fit

    4+ hours overlap.

  • Replacement guarantee

    Two-week trial.

Tech stack

Tools they reach for.

  • Python 3.12
  • Django
  • FastAPI
  • SQLAlchemy
  • Pydantic
  • pytest
  • mypy
  • Pandas
  • Polars
  • Airflow
  • Celery
  • PostgreSQL

Hiring process

Brief to first commit.

  1. 01

    Tell us the role

    Share the spec — required experience, stack, time-zone overlap, deadline. Ten minutes on a call or a written brief.

  2. 02

    CVs in 48 hours

    We send 2–4 pre-vetted CVs from engineers who actually fit, not just match keywords.

  3. 03

    You interview

    You run your own technical interview with the candidate. We facilitate; we do not edit.

  4. 04

    Onboard within 5 days

    Once you pick, the engineer is in your tools in five business days. Two-week trial period included.

FAQ

What teams ask before they hire.

Django or FastAPI for new projects?
Django for admin-heavy CRUD apps and content sites; FastAPI for high-throughput API-only services. We make the call in discovery.
Do your Python engineers also handle ML training?
The ones with that profile, yes. We map specialisations on the brief — backend-only, ML-only, or hybrid.
What about Python 2 legacy code?
We migrate to 3.12. The first phase is type-safe surface and test coverage; the second is feature-flagged module replacements.

Other roles

More engineers we place.

Ready to ship

Hire a python engineer.

Send the role brief. We come back within 48 hours with 2–4 senior CVs that actually fit.

Request a CV Book a meeting