Python at Shivacha
The primary language for AI, machine learning, data engineering and many APIs.
Overview
Python is central to our AI and data work — model training, retrieval pipelines, agents, data processing — and is also productive for APIs with FastAPI or Django. We apply type hints, testing and packaging discipline so Python services are as maintainable as any other.
Why we use it
- Dominant AI and ML ecosystem
- Data engineering libraries
- Productive web frameworks
- Readable and widely known
How we use it
Python in our engineering work
AI services
LLM orchestration, RAG and agents.
ML pipelines
Training, evaluation and serving.
Data processing
ETL and analytics jobs.
Services
Services that use Python
AI Development
End-to-end AI development: from use-case selection and data preparation to models, applications and production operations.
Learn moreMachine Learning Development
Custom machine learning models for prediction, scoring, forecasting and recommendation, deployed and monitored with MLOps.
Learn moreAI Data Solutions
Data engineering for AI: pipelines, warehouses, feature stores, vector indexes and governance that make AI systems accurate.
Learn moreBackend Development
Scalable backend systems, services and data layers in Node.js, Python, Go, Java and .NET — reliable under real load.
Learn moreRAG Development
Retrieval-augmented generation systems that ground LLM answers in your documents with permissions, citations and measurable accuracy.
Learn moreVoice AI Development
Voice AI agents and speech systems for calls, transcription and voice interfaces with natural, low-latency conversation.
Learn moreProducts
Products built with Python
Shivacha AI SaaS Starter
The foundations of an AI SaaS product — ready to build your differentiation on.
Learn moreShivacha Agent Platform
Build, govern and operate AI agents that do real work across your systems.
Learn moreShivacha AI Support
AI support that resolves, not just responds — grounded in your knowledge and systems.
Learn moreTeams
Engineering teams
AI Engineering Team
AI engineers who build production LLM applications, RAG systems and AI features.
Learn moreMachine Learning Team
ML engineers and data scientists for predictive models and MLOps.
Learn moreAI Agent Team
Specialists in agentic systems, tool integration and workflow automation.
Learn morePairs well with
What we combine with Python
Languages and frameworks for APIs, services and business logic.
Insights
Related insights
AI development cost: what you pay for when you build an AI product or agent
Model fees are rarely the main cost. Data preparation, evaluation, integrations and guardrails decide both the budget and whether the system works.
Learn moreWhy most AI pilots never reach production — and the engineering that fixes it
The model is rarely the problem. Retrieval quality, evaluation, integration and governance decide whether an AI pilot becomes a production system.
Learn moreYour ledger is your product: designing money movement that always reconciles
Fintech products are judged on experience but survive on correctness. A double-entry ledger at the core is what makes balances provable.
Learn more
Build with Python.
Tell us about your project, or the engineers you need, and we will propose an approach.