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Hire senior
Python developers

Bring on Python developers who build production backends, data pipelines, and AI systems, not notebooks that only run on one laptop. From RAG pipelines to APIs to the automation that saves your team hours.

Talk to our team

Why teams hire Python developers from us

Production, not notebooks

Whatever Python is doing, it ships as a maintainable, deployable service with tests and observability, not a script that only runs on one laptop.

One language, several jobs

Backend APIs, data pipelines, automation, and the AI layer on top of them. Sized to what you actually need.

Read the work before you hire

A production case study and a published teardown of our Python retrieval stack, before you commit.

What Python is actually good for

The four jobs we hire Python developers for most, each built to run without babysitting.

AI and RAG systems

Retrieval, agents, and the vector-search layer underneath them, like Guidable's AI tour generation.

Data pipelines

ETL jobs, scheduled processing, and the plumbing that moves data between systems reliably.

Backend APIs

Django, FastAPI, and Flask services: tested, observable, and deployable by someone other than the author.

Automation

The manual process your team repeats every week, turned into something that runs itself and tells you when it fails.

Skills our Python developers bring

From the web framework to the vector store, the stack our Python work actually runs on.

How hiring works

From the first call to an engineer in your standup, usually inside two weeks.

  1. Tell us what you are building

    A short call to understand your product, your codebase, and what you actually need Python to do.

  2. We match senior developers

    We propose vetted Python developers who fit your stack and timezone, with real code for you to review.

  3. You interview and decide

    Talk to the developers, check the fit, and choose who joins. You make the call, not us.

  4. They start, embedded

    Your developer joins your standups and tools, managed by you, backed by our designers, QA, and reviewers.

Why a dedicated team beats the alternatives

How hiring senior Python developers through us compares to building in-house or going freelance.

2muchcoffeeIn-house hireFreelancer
Time to startAbout two weeksTwo to three monthsVaries a lot
VettingSenior, real code to readYou run itEntirely on you
Team behind themDesigners, QA, reviewersJust the hireNone
ScalingUp or down in daysSlow and costlyHard on demand
If it is not a fitReplaced fast, no extra costRe-hire from scratchStart over
2muchcoffee

About two weeks

In-house hire

Two to three months

Freelancer

Varies a lot

Work with us how you need

Pick the model that fits your stage. You can change it as your roadmap changes.

  • Dedicated developer

    One senior Python engineer, full-time on your product and managed by you, in your standups, your board, and your repository.

    • Full-time on one product
    • Works in your tools and process
    • Design, QA and code review behind them
    • Monthly rate, scale up or down

    Best fit for an ongoing roadmap with a steady flow of work.

  • Dedicated team

    A cross-functional pod that owns the product end to end: engineering, design, and QA, without you growing headcount.

    • Engineers, design and QA in one pod
    • Owns delivery end to end
    • Ramps up without new hires
    • Grows and shrinks with the roadmap

    Best fit for a product that needs more than one pair of hands.

  • Project-based

    A scoped backend, data pipeline, or AI service, delivered against a fixed plan, price, and timeline agreed before work starts.

    • Scope agreed up front
    • Fixed plan, price and timeline
    • Delivered end to end
    • Handover with the repo and docs

    Best fit for a defined build or a migration with a clear finish line.

Hiring Python developers, answered

The questions teams ask before they open a role with us.

What Python work has your team actually shipped?

Production RAG and retrieval systems. Guidable's AI tour generation runs retrieval-augmented generation in Python over a vector database for hundreds of thousands of users, and we published a full teardown of our hybrid RAG on Qdrant.

Do you use Python only for AI, or for general backend work too?

Both. The same developers who build our RAG pipelines also ship Django and FastAPI backends, data pipelines, and automation. Python is the language, AI is one of the jobs it does for us.

Which Python frameworks do you use?

Django and FastAPI for backends, Flask for lighter services, LangGraph for agents, and Celery for background jobs. We pick per project, not by default.

How do you keep an AI feature from hallucinating?

Grounding and evaluation. We constrain answers to retrieved, cited context and run an evaluation harness with golden sets, so a change that increases hallucination shows up before your users find it.

Can I hire one developer or a team?

Both, sized to your stage. One senior Python developer embedded with your team, or a cross-functional pod that ships the feature end to end.

What clients say about the engineers

Rated 5.0 across 26 client reviews on Clutch.

Adam Egesa
“2muchcoffee provides top-notch development work and expert advice that please end-user needs. The team is transparent about progress, communicative, and committed to deadlines.”
Adam EgesaCEO & CTO at Normative
Peter ten Klooster
“Working with 2muchcoffee felt like having an extension of our own team. They delivered high-quality software, communicated proactively, and adapted quickly to our evolving requirements.”
Peter ten KloosterCo-founder
Station
“2muchcoffee quickly understood our product vision and delivered a scalable, well-engineered solution. Their team combined technical excellence with proactive communication, making the entire development process smooth and efficient. We highly value them as a long-term technology partner.”
Read Clutch review
Lindsay Scholtes
“2muchcoffee was an outstanding partner from start to finish. Their team combined thoughtful UX/UI design with strong technical execution, communicated clearly throughout the project, and consistently delivered high-quality results.”
Lindsay ScholtesCo-founder & CEO at Scholyr
Niklas Frisk
“2muchcoffee consistently delivered high-quality work with strong technical expertise and excellent communication. Their team understood our product vision, proposed valuable improvements, and became a reliable engineering partner throughout the development process.”
Niklas FriskCo-founder & CEO at Stepler
“2muchcoffee integrated seamlessly with our team and consistently delivered high-quality work on time. Their developers were proactive, detail-oriented, and always focused on creating the best possible user experience.”
Lars RiegerProduct Manager at Digistore24

Award-Winning Software Development Company

Rated 5.0 across 26 client reviews on Clutch. Every listing below is an independent directory where our profile and client reviews are public.

Contact our team

Do you have an idea for your next project? Not sure what tech stack or business model to choose? Share your thoughts and our team will assist you in any inquiry.
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