Python Architect

Company Profile

Our client operates a large, complex pan-India electronics distribution network across India spanning mobile devices, consumer electronics, telecom accessories, and IT products. It is building an AI-native operations platform to rethink how distribution and logistics businesses runfrom purchasing, inventory, and order management to logistics, reconciliation, finance, compliance, partner portals, and internal systems. It offers more than just solutions - it helps build ecosystems for long-term success.

Their services are designed to accelerate growth, drive operational excellence, and unlock new possibilities for businesses across industries.

The client is part of a diversified business conglomerate with a strategic presence in four high-growth verticals Trading & Distribution, Technology, Financial Services and Strategic investments. Each business unit is built to lead its domain, fuelling transformation through technology, scale, and impact.

Job Profile

: Python Architect

Location:

Gurgaon, India

Employment Type

Full Time

Preferred experience:

6-8 years

The Role:

We are looking for a hands-on Python Architect / Senior Python Developer with strong expertise in Python backend development, solution architecture, system design, microservices, APIs, cloud platforms, and modern GenAI/LLM application development. The ideal candidate will be responsible for designing and developing scalable, secure, high-performance backend platforms and AI-driven applications. The role requires a strong balance of architecture ownership and hands-on coding, with the ability to work across system design, development, integrations, production deployment, and technical problem-solving.

Responsibilities:

Architecture & Solution Design

Design and lead the architecture of

scalable, secure and high-performance Python-based applications and platforms

.

Define technical architecture, system design, design patterns and technology choices for complex business requirements.

Design

microservices-based architectures

, API-driven systems and distributed applications.

Translate business and functional requirements into scalable and maintainable technical solutions.

Drive architecture decisions covering

performance, scalability, reliability, security, observability and cost optimization

.

Prepare architecture documents, technical specifications, solution designs and architectural diagrams.

Provide technical leadership and guidance to engineering teams.

Python Backend Development

Develop

production-grade backend applications using Python

.

Design and develop RESTful APIs and backend services using frameworks such as

FastAPI and Django

.

Build scalable and loosely coupled

microservices

.

Implement asynchronous and event-driven workflows.

Apply appropriate

design patterns, coding standards and software engineering best practices

.

Conduct code reviews and ensure high-quality, maintainable and testable code.

Remain hands-on with development, debugging and complex technical issues.

GenAI / LLM Application Development

Design and develop

GenAI and LLM-powered enterprise applications

.

Build

AI Agents, RAG, Agentic RAG and GraphRAG

solutions.

Work with

LangGraph, LangChain and other LLM orchestration frameworks

.

Design LLM workflows involving

tool calling, retrieval, embeddings, memory and multi-step orchestration

.

Evaluate and select appropriate LLMs, embedding models and retrieval strategies based on business requirements.

Implement

prompt engineering, prompt management and LLM evaluation

.

Integrate LLM capabilities into existing enterprise applications and backend services.

Design reliable AI applications with appropriate

fallback mechanisms, validation and failure handling

.

AI / Automation Platform

Build intelligent automation across operational and business workflows.

Integrate AI solutions with

ERP, OMS, WMS, external APIs, partner portals and enterprise systems

.

Identify processes where LLMs/AI can provide meaningful business value while using deterministic software where reliability is more important.

Develop prototypes and PoCs to evaluate new AI technologies and use cases.

Convert manual and complex business processes into reliable, scalable and observable software solutions.

APIs, Integrations & Distributed Systems

Design and implement

REST APIs, third-party integrations and enterprise integrations

.

Work with asynchronous processing, messaging and event-driven architectures.

Develop integrations with external platforms and internal enterprise systems.

Ensure API security, reliability, scalability and performance.

Work with technologies such as

Kafka, Redis and other messaging/caching solutions

.

Database & Data Engineering

Design efficient data models and database architectures.

Work extensively with

SQL and relational databases

.

Develop optimized queries and ensure database performance.

Work with databases such as

PostgreSQL, MySQL and other enterprise databases

.

Work with

NoSQL and vector .