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 run—from 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 robust 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 databases where required for AI applications.
- Design data pipelines and data flows supporting AI/GenAI applications.

Cloud, DevOps & Deployment

- Design and deploy applications on AWS, Azure or GCP .
- Work with Docker and Kubernetes for containerization and orchestration.
- Collaborate with DevOps teams on CI/CD pipelines and automated deployments .
- Implement application monitoring, logging, tracing and observability.
- Ensure production systems meet required standards for availability, scalability, security and performance .

Performance,



Security & Reliability

- Identify and resolve performance bottlenecks across application, API and database layers.
- Design systems for high availability, scalability and fault tolerance.
- Implement secure coding practices and appropriate application security controls.
- Define and monitor non-functional requirements including latency, reliability, observability and cost .
- Troubleshoot complex production issues and drive root-cause analysis.

Technical Leadership & Collaboration

- Mentor developers and provide technical guidance on architecture and development practices.
- Lead technical discussions, design reviews and architecture reviews.
- Collaborate with product managers, business stakeholders and engineering teams.
- Translate business requirements into practical technical solutions.
- Work effectively in lean, cross-functional and distributed teams .
- Take ownership from architecture and development through deployment, debugging and production support .

Must - Have Qualifications:

- Minimum 6 years of software development experience , with strong experience in software architecture and system design.
- Expert-level Python development with strong production-grade coding experience.
- Strong experience with FastAPI.
- Strong experience in REST API development and Microservices architecture .
- Robust experience with system design, architecture patterns, scalability and performance optimization .
- Strong experience with SQL, PostgreSQL and database design .
- Proven experience in solution architecture and enterprise application design .
- Strong understanding of distributed systems and cloud-native architecture
- Hands-on experience with Redis and Kafka or similar caching/messaging technologies.
- Strong experience with AWS, Azure or GCP .
- Hands-on experience with Docker and Kubernetes .
- Solid understanding of CI/CD, deployment, monitoring, logging and observability .
- Strong hands-on experience in GenAI / LLM application development .
- Experience building AI Agents, RAG, Agentic RAG and/or GraphRAG applications.
- Strong experience with LangGraph and LangChain or equivalent orchestration frameworks.
- Experience with LLM integration, prompt engineering, tool calling and embeddings .
- Understanding of LLMOps, AI application monitoring and productionization .

Preferred Qualifications: · Bachelor’s degree or equivalent in Computer Science, Information Technology, Engineering, or a related field.

- Ability to convert business requirements into scalable technical solutions.
- Experience in e-commerce, logistics, supply chain, ERP, OMS or WMS domains.
- Experience integrating ERP, OMS, WMS, partner portals and external APIs.
- Ability to remain hands-on while owning architecture and technical decisions .
- Strong technical leadership, problem-solving and stakeholder management skills.

Application Method Apply on LinkedIn or email your resume to: [email protected]

📌 Python Architect (Delhi)
🏢 SpeedMart
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