Generative AI Engineer

Job Description – Gen AI Engineer (AWS/Python)

Job Title: Python + Generative AI Engineer

Experience: 4 to 8 Years

Location: Pune, Hyderabad, Chennai, and Bangalore

Mandatory Technical Skills:

• Solid foundational understanding of databases, data warehousing, and data engineering using Python, PySpark, and SQL
• Exposure to cloud-native services
• Gen AI skills
• Agentic skills

Programming

• Strong hands-on experience in Python
• Object-Oriented Programming
• Python-based application/API development

Generative AI

• Hands-on experience in Generative AI projects
• Large Language Models (LLMs)
• LLM integration
• Retrieval-Augmented Generation (RAG)
• Prompt Engineering
• Agentic AI development

GenAI Frameworks

• LangChain
• LangGraph

Vector Database

• Experience with Vector Databases
• Semantic Search
• Embeddings
• Vector-based information retrieval

Cloud & DevOps

• Microsoft Azure
• API development and integration
• CI/CD pipelines
• Application deployment
• Cloud-based GenAI solutions
• Job Summary

We are looking for an experienced Python + Generative AI professional with 5+ years of experience in software development and hands-on experience delivering AI/GenAI projects.

The ideal candidate should have strong expertise in Python, Generative AI, RAG, LLM integration, Vector Databases, Prompt Engineering, LangChain, LangGraph, APIs, Azure, CI/CD, Microservices, and SQL. The candidate will be responsible for designing and developing scalable GenAI applications and integrating AI capabilities into enterprise applications.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Python.
• Build and implement Retrieval-Augmented Generation (RAG) solutions.
• Integrate and work with Large Language Models (LLMs) for enterprise use cases.
• Develop AI-powered applications using LangChain and LangGraph.
• Design and implement Vector Database solutions for semantic search and knowledge retrieval.
• Develop effective Prompt Engineering strategies to improve LLM responses and application performance.
• Build and integrate REST APIs and AI services.
• Develop scalable microservices-based architectures for AI applications.
• Deploy and manage GenAI solutions on Microsoft Azure.
• Implement CI/CD pipelines for application and AI model deployment.
• Work with SQL databases for data storage, retrieval, and application integration.
• Collaborate with architects, developers, data scientists, and business stakeholders to understand requirements and deliver AI solutions.
• Ensure GenAI applications are scalable, secure, reliable, and production-ready.
• Troubleshoot and optimize GenAI applications, APIs, RAG pipelines, and LLM integrations.

Required Experience

• 5+ years of overall software development experience.
• Strong hands-on Python development experience.
• Proven experience working on AI/Generative AI projects.
• Hands-on experience building RAG-based applications.
• Experience integrating LLMs into enterprise applications.
• Experience with LangChain and LangGraph.
• Experience working with Vector Databases.
• Experience developing APIs and microservices.
• Experience with Azure and CI/CD.
• Strong understanding of SQL.

Interested candidates can share their resume at