4.9/5 on Clutch — 13 verified reviews

Hire Python Developers

When a Python backlog grows faster than an in-house team can ship, engineering capacity becomes the bottleneck. Kodexo Labs lets companies hire Python developers through staff augmentation services. Vetted engineers embed directly into existing sprints, skipping the long recruiting cycles and contractor churn.

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TRUSTED BY ENTERPRISES

Your roadmap does not pause while you interview. We give you vetted engineers for hire who read your codebase, join your standups, and ship production code inside the first sprint, not month two.

Our Core Capabilities

  • Backend development, the code powering your app, built in Django.

  • Data pipelines that clean and organize your data, using Pandas.

  • AI engineering that helps your app predict outcomes, using PyTorch.

  • Background job automation that keeps releases reliable, packaged with Docker.

  • Legacy modernization, including a full Python 2 to 3 migration.

  • Full-stack web development connecting your backend logic to user screens.

IN THE NEWS

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AI-powered products

Top-Rated

AI Development Company

94%

Client retention rate

PhD-Level

Expert team

How We Deploy Dedicated Python Developers

Not every engineering role is the same. A backend engineer and a data engineer solve different problems, so we staff to the work in front of you. These six areas map where the teams need reinforcement.

Backend & API Development

Broken APIs stall your product roadmap before it ships. We build the server-side logic in Django, FastAPI, and Flask that keeps releases moving.

REST and GraphQL APIs

We build the endpoints your apps use to send and pull back live data.

Async Request Handling

We keep your API fast under load with async code that never blocks work.

Ready to Add Python Engineers to Your Team

Bring us the roadmap you currently cannot staff, and we will show you the exact engineers who can clear that backlog this quarter.

Python Delivery, Proven Outcomes

Extensiv

Extensiv's operations team waited on engineering for every data question, so decisions stalled. We built an agentic system, one where AI reasons across steps, that answers plain-English questions from the full operational database. The ops team self-serves now, hitting over 90% accuracy across all 207 tables and 4 connected databases. Inc. 5000, Hg Capital-backed.

90%+

SQL Accuracy

207

Tables

04

Databases

Extensiv

Diesel Laptops

Fleet technicians spent more time searching diagnostic records than fixing trucks, so billable repair hours leaked away every shift. We built an AI search system that finds the right answer across 160,000 records in seconds, not minutes. Lookup time dropped 85%, and technicians got back to the repair bay much faster.

85%

Faster Lookup

160,000

Records Searched

AWS VPC

Self-Hosted

Diesel Laptop

SmartMedHx

Clinicians were losing nearly an hour every day to manual note-taking, time that belonged with patients. We built a HIPAA-compliant documentation system that captures the patient interview and writes the clinical note automatically. 42 providers now use it daily, with 493 patient interviews processed so far.

42+

Providers

493

Patient Interviews

HIPAA

Compliant

DRAG

What Clients Say About The Team

Fast-growing organisations do not applaud a consulting partner for polished slide presentations; they praise it for showing up when something actually breaks. The notes below come from founders who watched Kodexo Labs work the problem in real time.

Kodexo Labs has met all expectations; the team delivers on time and manages the project seamlessly. They respond promptly to needs and communicate effectively through virtual meetings, Google Chat, and WhatsApp. Overall, they're highly passionate about the project and excel in customer service.

Christopher Brigham

MD President, Brigham and Associates, Inc.

WATCH VIDEO

  • HIPAA-compliant engineering team
    Clinical documentation pipelines
    NLP note capture
    SmartMedHx-proven delivery

Python Development Solutions Built Across Every Industry We Serve

Regulated data, high transaction volume, and legacy systems each demand different technical skills. We staff engineers who already shipped inside your vertical, so they read your compliance constraints and scale limits on day one, not after onboarding.

Stop Screening Python Resumes

We vet for production Python, not interview trivia. Share your requirements and meet matched developers within days.

Compliance Standards Our Python Engineers Are Trained to Meet

Before a developer touches production code, they work inside your regulatory perimeter. Our engineers ship against HIPAA for health data, SOC 2 and ISO 27001 for security controls, PCI-DSS for payments, and GDPR for privacy. Here are the 25 frameworks we currently build against.

hipaa-logo

HIPAA

SOC TYPE 2 Logo

SOC 2 Type II

gdpr-compliance

GDPR

ccpa-compliance

CCPA

iso-27001

ISO 27001

ISO 42001

NIST AI RMF Logo

NIST AI RMF

NIST CSF

NIST CSF

PCI-DSS

PCI-DSS

FERPA Logo

FERPA

hipaa-logo

HIPAA

SOC TYPE 2 Logo

SOC 2 Type II

gdpr-compliance

GDPR

ccpa-compliance

CCPA

iso-27001

ISO 27001

ISO 42001

NIST AI RMF Logo

NIST AI RMF

NIST CSF

NIST CSF

PCI-DSS

PCI-DSS

FERPA Logo

FERPA

Why Growing Businesses Choose Kodexo Labs As Their Trusted Python Development Company Partner

Four things separate how we staff our engineers from the marketplace norm. Each one exists to get working code into your sprint sooner, backed by systems we already shipped and metrics you can check yourself.

Expertise, Not Guesswork

Real Depth, Not Guesswork

Unvetted Python hires guess at what lives in production, and rewrites follow. For Extensiv, a logistics firm, we built agents that query 4 databases in plain English at 90% accuracy on 207 tables.

Proven on Live Systems

A demo proves nothing until real load hits the Python code. Diesel Laptops, an auto firm, had slow diagnostics, so we built AI search on 160,000 records and cut lookup time by 85%.

AI Security, Governance and Compliance icon

Compliance Baked In Early

Python built with no compliance plan fails audits. For SmartMedHx, a health client, we shipped a HIPAA-compliant tool that turns patient visits into a clinical note. 42 of its providers use it daily.

Dedicated Team

One Team, No Handoff

Most firms split who scopes from who ships, so context leaks at handoff. For Fairness Factor, an HR-tech client, the same Python engineers scoped and built a model correct 80% of the time.

Your Backlog Does Not Wait for Hiring

A three-month search costs you three months of releases. Our Python engineers join your sprint in days and commit production code.

Industry Recognition Highlights

Every badge below comes from an outside body reviewing verified client work, not self-declared claims. Bring us your hiring brief, and you get engineers held to that standard.

Top Clutch Machine Learning Company San Francisco 2026
Top AI Development Company by Selected Firms
Clutch Spring Champion 2024
Upwork Top 1% · Top Rated
Top Clutch Artificial Intelligence Company 2024 Award
Top Artificial Intelligence Company
Top Artificial Intelligence Companies 2022 by TopAppFirms
Top Clutch Chatbot Company 2024 Award
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026
Top Clutch Machine Learning Company San Francisco 2026
Top AI Development Company by Selected Firms
Clutch Spring Champion 2024
Upwork Top 1% · Top Rated
Top Clutch Artificial Intelligence Company 2024 Award
Top Artificial Intelligence Company
Top Artificial Intelligence Companies 2022 by TopAppFirms
Top Clutch Chatbot Company 2024 Award
Top Clutch Health Wellness App Developers Chicago 2026
Top Clutch Generative Ai Company 2024 Award
Top Clutch Artificial Intelligence Company Chicago 2026

Overcoming Hire Python Developers Challenges

Staff augmentation fails in ways that generic hiring never does. The risks are specific: slow codebase onboarding, messy legacy handoffs, timezone gaps, and security vetting that stalls access. Here is how we remove each one before it costs you time.

Problem

Slow Onboarding Speed Bottleneck

A new Python engineer who cannot quickly navigate your codebase drags sprint velocity down, delaying the releases you hired them to accelerate.

Solution

  • We run an onboarding sprint that maps your architecture, conventions, and deployment flow.

  • Each developer pairs with a senior engineer during the first week for context.

  • We document tribal knowledge so your ramp-up never depends on one person's memory.

Problem

Code Quality Handoff Risk

Inheriting a legacy codebase without a clean, documented handoff invites hidden technical debt, brittle dependencies, and defects that surface only in production.

Solution

  • Our engineers document existing modules, dependencies, and known gaps before writing new code.

  • We enforce pytest coverage and code review on every pull request we submit.

  • Each handoff includes written runbooks so your team can maintain the work later.

Problem

Timezone Overlap Coordination Friction

Distributed teams lose hours when standups, code reviews, and urgent questions fall outside a shared working window, stalling decisions and slowing sprints.

Solution

  • We guarantee a minimum daily overlap window with your core engineering team hours.

  • Our developers join your standups, sprint planning, and reviews inside that shared window.

  • We document decisions asynchronously so no context is lost between overlapping working hours.

Problem

Pre-Access Security Review Delays

Compliance and access-vetting steps before a contractor touches production code can stall a project for weeks, especially in healthcare and finance environments.

Solution

  • Our engineers complete NDA, background, and IP-assignment checks before your onboarding even begins.

  • We align each contractor to your HIPAA, SOC 2, or GDPR access controls.

  • We stage access in tiers so review never blocks the first sprint's work.

Problem

Slow Onboarding Speed Bottleneck

A new Python engineer who cannot quickly navigate your codebase drags sprint velocity down, delaying the releases you hired them to accelerate.

Solution

  • We run an onboarding sprint that maps your architecture, conventions, and deployment flow.

  • Each developer pairs with a senior engineer during the first week for context.

  • We document tribal knowledge so your ramp-up never depends on one person's memory.

Problem

Code Quality Handoff Risk

Inheriting a legacy codebase without a clean, documented handoff invites hidden technical debt, brittle dependencies, and defects that surface only in production.

Solution

  • Our engineers document existing modules, dependencies, and known gaps before writing new code.

  • We enforce pytest coverage and code review on every pull request we submit.

  • Each handoff includes written runbooks so your team can maintain the work later.

Problem

Timezone Overlap Coordination Friction

Distributed teams lose hours when standups, code reviews, and urgent questions fall outside a shared working window, stalling decisions and slowing sprints.

Solution

  • We guarantee a minimum daily overlap window with your core engineering team hours.

  • Our developers join your standups, sprint planning, and reviews inside that shared window.

  • We document decisions asynchronously so no context is lost between overlapping working hours.

Problem

Pre-Access Security Review Delays

Compliance and access-vetting steps before a contractor touches production code can stall a project for weeks, especially in healthcare and finance environments.

Solution

  • Our engineers complete NDA, background, and IP-assignment checks before your onboarding even begins.

  • We align each contractor to your HIPAA, SOC 2, or GDPR access controls.

  • We stage access in tiers so review never blocks the first sprint's work.

The Python Tech Stack We Deploy

These are the frameworks, libraries, and platforms our own engineers work with daily to ship production systems.

Python
Python

How We Help You Hire Python Developers

No black box, no guesswork. You get clear checkpoints from first call to ongoing delivery, built specifically for staff augmentation engagements.

1

Discovery and Scoping

We start by mapping exactly what you need engineers to do. We document your codebase, stack, timelines, and engagement model, whether remote, dedicated, or offshore. This scope becomes the brief every candidate is measured against.

2

Shortlist and Interview

Next, we shortlist pre-vetted Python developers matched to your stack and domain. Each candidate clears a technical interview covering code quality, architecture, and real problem-solving. You review finalists and pick who joins your team.

Design & Prototyping
3

Onboarding and Immersion

Once you approve a developer, we run a focused onboarding sprint. They immerse in your codebase, conventions, and deployment flow, pairing with your engineers so ramp-up takes days. Then they start committing production code.

Development and Integration
4

Integration and Ramp-Up

Your new developers work as part of your own team, not siloed vendors. They join standups, sprint planning, and code reviews inside a guaranteed daily overlap window, so coordination stays tight across time zones.

5

Ongoing Delivery Cadence

From there, delivery runs on our Agile methodology: weekly demos, sprint retrospectives, and ISO 27001-aligned security practices. Scale the team up or down as your roadmap shifts. We have operated this way since 2021.

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Explore the top 10 benefits of offshore development services in 2025, including cost savings of 40-70%, access to global talent in AI, blockchain, and mobile development, 24/7 productivity through time zone advantages, and enterprise-grade quality with ISO 27001 compliance. Learn how startups and enterprises leverage offshore software development to accelerate innovation, reduce costs, and drive digital transformation with tools like Slack, Jira, and GitHub.

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