Python Backend & GEN AI Lead

Simelabs - Digital, AI/ML, Automation, Robotics, Gen AI.; Ernakulam; On-site; INR 1,500,000 - 2,700,000; Full time

Job summary

Simelabs - Digital, AI/ML, Automation, Robotics, Gen AI. seeks a strong Backend Tech Lead / Solution Architect with hands‑on Python and GenAI expertise to design scalable AI powered solutions.

Role emphasizes backend architecture, API design, microservices, and technical leadership. Full‑stack and data engineering familiarity are a plus, while core focus remains Python backend and GenAI integration.

Qualifications

• 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.
• 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.
• Experience as a Tech Lead / Technical Lead / Lead Engineer / Solution Architect.

Responsibilities

• Lead design and development of scalable Python backend applications.
• 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 frameworks.
• Evaluate and integrate GenAI models based on business needs.
• Provide technical leadership and guide developers on architecture and standards.
• Collaborate with product, business, and engineering teams to translate requirements.
• Design secure, scalable AI/backend architectures and optimize performance.
• Mentor engineers and participate in solution reviews and code quality.

Skills

Python

Backend architecture

API design

Microservices

Technical leadership

Generative AI / LLMs

Solution design

Cloud architecture

Data engineering familiarity

Tools

FastAPI

Flask

Django

LangChain

LangGraph

LlamaIndex

CrewAI

AWS

GCP

Azure

Elasticsearch

Job description

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 pipelines

Frontend

• React / Angular / Next.js
• Full‑stack development experience

Cloud

• AWS / Azure / GCP
• Experience deploying AI and backend applications on cloud platforms.