Hire Senior Python Developers.

Hire dedicated Python developers when the project is more than scripting — async APIs, multi-tenant SaaS backends, ML inference pipelines, data ingestion at scale, or any service where event-loop discipline and database performance matter. A generalist agency will get the script working; dedicated Python developers will ship a production service with proper async patterns, type-checked codebases (mypy/pyright strict), structured logging, and observability that lets you debug it at 3am. The split is most worth it past the prototype stage or when uptime targets are real.

Three things separate senior Python work from junior. First, async instinct — a senior knows when to reach for asyncio.gather vs TaskGroup, why your asyncio code is silently blocking on a sync DB driver, how to structure concurrency safely with anyio. Second, performance discipline — they profile with cProfile / py-spy / scalene before guessing, recognize that 'slow Python' is usually a slow query or N+1, and know when to drop hot paths to Cython, Rust via PyO3, or a Go rewrite. Third, type and test rigor — mypy strict or pyright strict in CI, pytest-asyncio for async code, hypothesis for property tests. A senior Python developer turns 'it runs' into 'it runs reliably at 10k QPS.'

Yes — most of our Python clients are in the US, UK, EU, and Australia. We overlap with East Coast US morning and UK afternoon hours, run async-first with daily standups, and ship in your timezone's calendar. Senior India-based Python developers cost 40–60% less than equivalent senior backend engineers in the US or UK without quality compromise. We've shipped Python services across all four regions — Firmable (B2B sales intelligence), ConvertBankStatement (AI document processing), SimpleTalk AI (voice agents), AiMusicService (subscription AI) — including FastAPI APIs, ML pipelines, and async data tooling.

FastAPI for greenfield API-only services where async matters. Django for products that need an admin, ORM, auth, templating — anything where 'batteries included' saves you 3 months. We do both.

Most can do applied ML (scikit-learn, XGBoost, fine-tuning open-weight models, RAG pipelines). For research-grade ML or training large models from scratch, hire a dedicated ML engineer instead.

Profile first (cProfile, py-spy, scalene). Most "slow Python" is actually slow database queries or N+1s. When it really is CPU, we move hot paths to Cython, Rust via PyO3, or rewrite the service in Go.

v2 for everything new — it's 10–50x faster and the API is cleaner. We can also migrate v1 codebases.

Yes — mypy --strict or pyright strict mode is the baseline. We don't ship untyped Python.

Sync Django is still the default for most apps. We go async when there's a clear case (long-running I/O, many parallel external API calls, websockets). Mixing async and sync ORM is where teams get hurt — we plan for it deliberately.

For most roles, within 5–10 business days from the intro call. We pre-qualify our bench so onboarding is contracts and access — not a hiring search.

Yes — every engagement starts with a mutual NDA and a clean IP assignment clause. All work product is your property the moment it's written.

Our team primarily operates in IST with 4–6 hours of overlap with US Pacific, full overlap with EU, and full overlap with AU East. We commit to overlap windows in writing.

There is no long lock-in. The first two weeks are a no-risk trial: if a developer is not the right fit, we replace them at no cost or you walk away owing only for work delivered. After that, engagements are month-to-month with 30 days notice — you are never trapped in a contract, and your code, accounts, and IP are always yours.