Python Backend & GEN AI Lead

Role Overview

We are looking for a strong Backend Tech Lead / Solution Architect with expertise in Python and recent hands-on experience in Generative AI. The ideal candidate should have strong backend architecture and development skills and be capable of designing scalable AI-powered solutions.

Full-stack, Data Engineering, and related skills are good to have but are not mandatory. The primary focus is Python Backend + GenAI.

Key Responsibilities

• Lead the design and development of scalable backend applications using Python.
• Design backend architecture, APIs, microservices, and AI-enabled solutions.
• Develop and integrate Generative AI/LLM-based applications into enterprise solutions.
• Work with LLMs, RAG, prompt engineering, AI agents, and AI application frameworks.
• Evaluate and integrate GenAI models and services based on business requirements.
• Provide technical leadership and guide developers on architecture, coding standards, and best practices.
• Collaborate with product, business, and engineering teams to translate requirements into technical solutions.
• Design secure, scalable, and reliable AI/backend architectures.
• Troubleshoot and optimize backend and AI application performance.
• Participate in technical discussions, solution design, code reviews, and mentoring.Mandatory Skills

Python Backend

• Strong hands-on experience in Python backend development.
• REST APIs, microservices, API integration, and backend architecture.
• Experience with frameworks such as FastAPI, Flask, or Django.Generative AI
• Recent hands-on experience with Generative AI / LLM applications.
• Experience with LLMs, RAG, prompt engineering, or AI agents.
• Experience integrating models such as OpenAI, Claude, Llama, Mistral, or similar.
• Exposure to frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, or similar.Technical Leadership
• Experience as a Tech Lead, Technical Lead, Lead Engineer, or Solution Architect.
• Strong system design and solution architecture experience.
• Ability to mentor developers and drive technical decisions.Good to Have

Data Engineering

• Apache Spark / PySpark
• AWS Glue
• Elasticsearch
• ETL / data pipelinesFrontend
• React / Angular / Next.js
• Full-stack development experienceCloud
• AWS / Azure / GCP
• Experience deploying AI and backend applications on cloud platforms.