python developer
Hire a Python Developer
Hire a Python developer from Bracket Coder when you need someone to own the parts of your product that users never see but always depend on: the backend, the APIs, the data flows, and the automation that keeps everything running. Our team is made up of senior engineers led by Sharan Sifat, and Python is one of our core languages for building server-side systems, integrating AI features, and turning slow manual work into reliable, scheduled scripts.
We write Python the way it should be written in production: typed where it helps, tested, and structured so the next person can read it. Whether you are standing up a new Django application, exposing a fast JSON API with FastAPI, wiring a language model into your product, or cleaning up a pile of one-off scripts, we can take it from a rough idea to a deployed, maintainable service you can keep building on.
What a Python developer at Bracket Coder builds
Most of our Python work falls into four buckets: backends, APIs, data and automation, and AI integration. On the backend, we build Django applications with a proper admin, permissions, and background jobs, or leaner services in FastAPI and Flask when you want minimal overhead. For APIs, we design REST endpoints with Django REST Framework or FastAPI, handle authentication, pagination, rate limiting, and versioning, and document them so your frontend or mobile team can build against them without guesswork. On the data and automation side, we build ETL pipelines, scheduled jobs, scraping and reporting tools, and scripts that replace repetitive manual work. For AI, we connect models from providers like OpenAI, Anthropic, and Google, add retrieval with embeddings and vector search, and build the plumbing around prompts, streaming responses, and usage limits.
The Python stack we work in
Our default web stack is Django and Django REST Framework backed by PostgreSQL, with Redis and Celery for caching and background tasks. When low latency and lightweight services matter, we reach for FastAPI with async views and Pydantic for validation. We use the Django ORM or SQLAlchemy depending on the project, pandas and NumPy for data work, and pytest for tests. For delivery we containerize with Docker, set up continuous integration so tests run on every change, and deploy to the environment you already use, whether that is a VPS, a managed platform, or a cloud provider. We are equally comfortable starting fresh and joining an existing codebase, reading it carefully, and improving it in small, reviewable steps rather than pushing a risky rewrite.
AI and automation with Python
Python is where most AI features actually get built, and it is a large part of our current work. We connect your product to LLM APIs, design the prompt and context layer, add retrieval-augmented generation with a vector database such as Pinecone, and handle the unglamorous parts: token limits, retries, streaming, cost controls, and safe handling of API keys so they never leak into logs or the client. Automation is the other half of the job. We turn recurring manual tasks into scheduled Python jobs: syncing data between systems, generating invoices or reports, scraping and normalizing external data, and sending notifications. The aim is boring, dependable software that runs on its own and quietly tells you when something needs attention.
How hiring a Python developer works
You can hire us for a defined project with a fixed scope, or on an ongoing basis to extend your existing team. We start with a short discovery call to understand the problem, the systems it touches, and what done looks like, then come back with a plan and a realistic estimate given as a range rather than a false promise. From there you get regular check-ins, code you can review as it lands, and tests that back up the work. If you already have engineers, we fit into your branch and pull request conventions and your review process. When an engagement ends, the code is documented and handed over cleanly, so you keep full ownership and are never locked in.
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Frequently asked questions
Which Python frameworks and tools do you use?+
Mostly Django with Django REST Framework for full backends, and FastAPI or Flask for lighter services and APIs. Around that we use PostgreSQL, Redis and Celery, pandas and NumPy for data work, and pytest for testing. We pick based on the problem rather than defaulting to one tool for everything.
Can you work with our existing Python codebase?+
Yes. A lot of our work is joining a codebase someone else started, reading it carefully, and improving it in small, reviewable changes. We follow your existing conventions, add tests where they are missing, and avoid large rewrites unless there is a clear reason for one.
Do you build AI features in Python?+
Yes. We integrate LLM APIs from providers like OpenAI, Anthropic, and Google, add retrieval with embeddings and vector search, and handle streaming, retries, cost controls, and secure key handling. We treat AI features as normal software that needs tests, error handling, and monitoring, not a demo.
How do you price a Python project?+
For a defined scope we give an estimate as a range after a short discovery call, so you see the likely floor and ceiling rather than one optimistic number. For ongoing work we bill on a regular cycle as an extension of your team. There are no invented per-hour claims here; the estimate comes from the actual work.
Can the same Python developer handle deployment and the frontend?+
The Python developer focuses on the backend, APIs, and automation, but Bracket Coder is a full team. We can containerize and deploy the service, and pair it with our Next.js, React, or Flutter developers when you need the frontend or mobile side built against the same API.
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