AI Engineer / GenAI Backend Developer

Bitcot Technologies; Indore District, Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Bitcot Technologies is seeking a Python backend developer with GenAI skills to design and maintain AI-powered applications using FastAPI/Flask. You will build RAG pipelines, work with vector databases, and integrate tools with REST APIs. Experience with LangChain, LangGraph, and cloud platforms is preferred.

The role emphasizes clean code, testing, debugging, and collaboration on AI-powered solutions across databases like PostgreSQL/MySQL and NoSQL.

Qualifications

• 1-2 years hands-on experience in Python/backend development or AI/GenAI application development.
• Strong knowledge of Python, OOP, data structures, and backend development.
• Hands-on experience with FastAPI or Flask and REST API development.
• Practical understanding of LLMs, Generative AI, prompt engineering, and embeddings.
• Experience building RAG applications and working with vector databases.
• Familiarity with LangChain or LangGraph, AI agents, workflows, and tool calling.
• Knowledge of PostgreSQL/MySQL and basic NoSQL concepts.
• Basic experience with AWS or other cloud platforms.
• Familiarity with Docker and Git/GitHub.
• Strong problem-solving, debugging, communication, and analytical skills.

Responsibilities

• Develop and maintain Python-based backend applications using FastAPI or Flask.
• Build Generative AI applications using LLMs, prompt engineering, embeddings, and context management.
• Develop RAG pipelines, including document ingestion, chunking, embeddings, retrieval, and response generation.
• Build AI Agent workflows using LangChain or LangGraph.
• Implement tool calling, API integrations, and REST APIs for AI-powered applications.
• Work with vector databases such as FAISS, ChromaDB, Pinecone, or similar technologies.
• Work with PostgreSQL/MySQL and basic NoSQL databases.
• Develop clean, reusable Python code following OOP and coding best practices.
• Use Docker, Git/GitHub, unit testing, logging, and debugging practices.
• Deploy and support applications on AWS or other cloud platforms.
• Test, debug, and troubleshoot backend and GenAI applications.
• Use AI coding assistants such as Claude, Cursor, GitHub Copilot, or similar tools effectively.
• Collaborate with the development team to design, develop, test, and deliver AI-powered solutions.
• Take ownership of assigned tasks and continuously learn emerging GenAI and Agentic AI technologies.

Skills

Python

OOP

data structures

backend development

FastAPI

Flask

REST API

LLMs

Generative AI

prompt engineering

embeddings

RAG

LangChain

LangGraph

vector databases

FAISS

ChromaDB

Pinecone

PostgreSQL

MySQL

NoSQL

AWS

Docker

Git/GitHub

unit testing

logging

debugging

cloud deployment

Tools

Docker

GitHub

Git

FAISS

ChromaDB

Pinecone

AWS

Job description

Role & Responsibilities

• Develop and maintain Python-based backend applications using FastAPI or Flask.
• Build practical Generative AI applications using LLMs, prompt engineering, embeddings, and context management.
• Develop RAG (Retrieval-Augmented Generation) pipelines, including document ingestion, chunking, embeddings, retrieval, and response generation.
• Build basic AI Agent and Agentic AI workflows using LangChain or LangGraph.
• Implement tool calling, API integrations, and REST APIs for AI-powered applications.
• Work with vector databases such as FAISS, ChromaDB, Pinecone, or similar technologies.
• Work with PostgreSQL/MySQL and basic NoSQL databases.
• Develop clean, reusable, and maintainable Python code following OOP and coding best practices.
• Use Docker, Git/GitHub, unit testing, logging, and debugging practices.
• Deploy and support applications on AWS or other cloud platforms.
• Test, debug, and troubleshoot backend and GenAI applications.
• Use AI coding assistants such as Claude, Cursor, GitHub Copilot, or similar tools effectively.
• Collaborate with the development team to design, develop, test, and deliver AI-powered solutions.
• Take ownership of assigned tasks and continuously learn emerging GenAI and Agentic AI technologies.

Preferred Candidate Profile

• 1 2 years of hands-on experience in Python/backend development or AI/GenAI application development.
• Strong knowledge of Python, OOP, data structures, and backend development.
• Hands-on experience with FastAPI or Flask and REST API development.
• Practical understanding of LLMs, Generative AI, prompt engineering, and embeddings.
• Experience building RAG applications and working with vector databases.
• Familiarity with LangChain or LangGraph, AI agents, workflows, and tool calling.
• Knowledge of PostgreSQL/MySQL and basic NoSQL concepts.
• Basic experience with AWS or other cloud platforms.
• Familiarity with Docker and Git/GitHub.
• Strong problem-solving, debugging, communication, and analytical skills.
• Ability to understand existing code, troubleshoot issues, and build features independently.
• Experience using AI-assisted coding tools such as Cursor, Claude, or GitHub Copilot is preferred.
• Candidates should have practical project experience, not just theoretical knowledge of GenAI concepts.
• Strong willingness to learn, adapt, and work across Python backend and GenAI technologies.