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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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.
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AI-powered products
AI Development Company
Client retention rate
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.
We build the endpoints your apps use to send and pull back live data.
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


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


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

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 teamClinical documentation pipelinesNLP note captureSmartMedHx-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

SOC 2 Type II

GDPR

CCPA

ISO 27001

ISO 42001

NIST AI RMF

NIST CSF

PCI-DSS

FERPA

HIPAA

SOC 2 Type II

GDPR

CCPA

ISO 27001

ISO 42001

NIST AI RMF

NIST CSF

PCI-DSS

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.

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%.

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.

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.
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.
The Python Tech Stack We Deploy
These are the frameworks, libraries, and platforms our own engineers work with daily to ship production systems.
























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.
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.

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.

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.

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.

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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Common Questions Answered
Cost depends on scope, seniority, and how many roles.






















