Add senior Python engineers who build Django and FastAPI services, data pipelines and LLM-powered features — working in your codebase and sprints, onboarded in days.
A selection of the software Mindrops has designed and engineered for clients.
AI · ML
AI-Based Product Development
Mindrops built four production ML products in Python: predictive maintenance, computer-vision body measurement, multi-channel attribution and deep-learning manpower forecasting.
25% lower maintenance cost, 20% fewer sales returns, 15% more sales and 90% better forecasting accuracy for the respective clients.
Total post offices1,65,000The largest postal network in the world
Government · GovTech
India Post — Grievance Redressal
An AI-automated platform on Mindrops’ LazyMonkey foundation that categorises, prioritises, routes and auto-responds to every grievance, with one SLA-tracked record for central and regional teams.
Awarded via GeM (Nov 2025), it auto-triages thousands of grievances a day for a network of 1.5 lakh+ post offices.
Cafés in India50+outlets across India, served by the systems we builtBrewing since 1963
AI · Food & Beverage
BeanBot — The Coffee Bean & Tea Leaf
An embeddable AI chat assistant grounded in live catalogue and store data, with an “Order Now” action on every product and a no-code admin console for content and pricing.
Live across 50+ outlets in India, handling about 10,000 conversations a month and around 50 orders a day.
Hiring Python developers through Mindrops adds senior Python engineers to your team for backend services in Django or FastAPI, data processing with Pandas and Celery, and AI features built on OpenAI and other LLMs. You interview a shortlist within about 48 hours, onboard in days, and own all code and IP.
01
Django & FastAPI services
Backends, admin tools and async APIs with typed request models, authentication and tests.
02
LLM & AI features
Retrieval-augmented generation, structured extraction and assistants on OpenAI and other LLMs, with human review where accuracy matters.
03
Data pipelines
Ingestion, transformation and validation with Pandas and SQL, scheduled and retried through Celery workers.
04
Machine learning in production
Trained models packaged behind APIs, versioned and monitored once they are live.
05
Document processing
OCR plus LLM extraction for invoices, receipts and forms — the approach behind Mindrops’ own Caelum AI.
06
Integrations & automation
Services that move data between APIs, databases and spreadsheets on a schedule, with logs you can audit.
Teams that hire Python developers
Teams adding AI to a product
Product teams that need retrieval-augmented search, document extraction or an LLM assistant wired into an existing application.
Data-heavy operations
Businesses whose reporting, reconciliation or imports run on fragile scripts and need proper pipelines, scheduling and validation.
Django and FastAPI product backends
Companies running a Python backend that needs new features, endpoints or performance work from senior engineers.
Data science teams short of engineers
Teams whose models work in notebooks but need engineers to package, serve and monitor them in production.
Why hire Python developers from Mindrops
Production AI built in Python
Mindrops built and shipped four production AI products in Python, including predictive maintenance and demand forecasting, on TensorFlow, Keras and PyTorch.
LLM experience from shipped systems
Our LLM work comes from products in use, such as the Caelum AI document engine and AI-assisted invoice capture with human-in-the-loop review built for a client.
Data and AI as everyday work
Python developers come from a company that also delivers data engineering and generative AI projects, so pipeline and model problems are familiar ground.
Careful with your data
NDAs, least-privilege access to datasets and a secure SDLC apply from day one — important when engineers touch customer or financial data.
Python skills and tooling
Core Python skills
Python · Django · FastAPI · Flask · REST
Ecosystem & tooling
PostgreSQL · Pandas · Celery · OpenAI / LLMs
Client reviews
Extra capacity for software and cloud
A Mindrops team working alongside the client’s own engineers on software development and cloud-based projects, brought in to add reliable delivery capacity.
From the client’s review
“Mindrops handled complex requirements with ease and added value throughout the project.”
Customer, restaurant-partner and rider apps, an admin panel and a marketing website for a pure-vegetarian delivery service, built from scratch.
From the client’s review
“The customer app, restaurant app, and rider app all feel like they belong to the same ecosystem rather than being built separately and assembled later.”
One platform replacing scattered tools for pet food ordering, walker bookings, vet consultations and adoption listings, with customer features and a vendor management backend.
From the client’s review
“The vendor and admin management setup stood out most, since it needed to handle walkers, trainers, cafés, and diagnostic labs within one consistent system.”
Three main areas: backend services in Django, FastAPI or Flask; data pipelines with Pandas, SQL and Celery; and AI features built on OpenAI and other LLMs. Tell us which focus you need and the shortlist reflects it.
Can a Python developer add LLM features to our existing product?
Yes. Typical work includes retrieval-augmented search over your documents, structured data extraction and assistants, integrated into your application with human review where accuracy matters.
Do your Python developers have production machine-learning experience?
Mindrops has shipped production machine learning in Python, including predictive maintenance and demand forecasting; see the AI product case study. Depth varies by engineer, so state the level you need in your brief.
How soon can a Python developer start?
Most clients see a shortlist within about 48 hours and onboard their chosen engineer within days, after interviewing the candidates themselves.
How can we engage Python developers?
As individual engineers in your team (staff augmentation), as part of a dedicated team, or on fixed-price or time & materials terms for scoped work. See engagement models.
Who owns the code, pipelines and models?
You do. Source code, pipelines, models, documentation and all other IP built for you belong to you.
Contact us
Tell us whether the role is backend, data or AI-focused, your frameworks and the seniority you need. We reply within one business day.