Python Software Developer

PiLog; Hyderabad; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

Pilog in Hyderabad is seeking a Python Backend Developer with 5+ years of hands-on experience in Python and Generative AI to build AI-powered backend solutions. You will work with LangChain, LangGraph, and RAG to design scalable, reliable services and integrate AI workflows with existing systems.

Strong problem-solving and clean code practices are essential. The role involves developing, testing, and maintaining backend logic, ensuring performance, and documenting components for long-term

Qualifications

• 5+ years hands-on experience in Python backend development.
• Experience building AI-powered solutions using LangChain, LangGraph and RAG.
• Strong knowledge of Generative AI concepts and LLM-based applications.

Responsibilities

• Python Backend Development: Design, develop, test, and maintain reliable and scalable backend services using Python.
• LangChain: Build and integrate LLM-powered application workflows.
• LangGraph: Develop structured, stateful AI workflows and agent-based processes.
• RAG: Design and implement RAG pipelines to retrieve information and generate context-aware responses.
• Generative AI: Integrate Generative AI capabilities into backend applications and LLM-based solutions.
• Backend Integration: Connect AI workflows with backend services and data sources.
• Quality and Maintenance: Troubleshoot, optimize performance, and maintain clean, well-documented code.

Skills

Python

LangChain

LangGraph

RAG

Generative AI

Backend Development

Education

Bachelor's degree

Job description

JOB DESCRIPTION

Python Backend Developer Generative AI

Role Overview

We are seeking a Backend Developer with 5+ Years hands-on experience in Python and Generative AI technologies. The ideal candidate should be skilled in developing backend applications and building AI-powered solutions using LangChain, LangGraph, and Retrieval-Augmented Generation (RAG).

Key Responsibilities

• Python Backend Development: Design, develop, test, and maintain reliable and scalable backend services using Python.
• LangChain: Build and integrate LLM-powered application workflows using LangChain.
• LangGraph: Develop structured, stateful, and multi-step AI workflows and agent-based processes using LangGraph.
• RAG: Design and implement RAG pipelines to retrieve relevant information from knowledge sources and generate context-aware responses.
• Generative AI: Integrate Generative AI capabilities into backend applications and develop solutions powered by Large Language Models (LLMs).
• Backend Integration: Connect AI workflows with backend services, application data, and existing systems.
• Quality and Maintenance: Troubleshoot issues, optimize application performance, and maintain clean, reusable, and well-documented code.

Required Technical Skills

• Python: Strong programming skills and experience developing backend applications.
• LangChain: Practical experience building applications and workflows with LangChain.
• LangGraph: Understanding of LangGraph for workflow orchestration and stateful AI applications.
• RAG: Hands-on knowledge of Retrieval-Augmented Generation concepts and implementation.
• Generative AI: Understanding of LLM-based applications and integrating Generative AI into backend solutions.
• Backend Development: Experience designing, developing, and maintaining backend application logic and services.

Experience

Relevant experience in Python Backend Development with practical exposure to LangChain, LangGraph, RAG, and Generative AI. The required years of experience can be specified based on the hiring level.

Education

Bachelors degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.

Key Competencies

Strong problem-solving and analytical skills, ability to develop backend solutions, and the ability to work with the listed Generative AI technologies.