Senior Software Developer - Python & AI

GyanSys Inc.; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

GyanSys Inc. in Bengaluru seeks a senior Python developer to design and implement production-grade backend services and automation frameworks.

You will work across REST APIs, microservices, and AI/ML integrations, applying best practices in software architecture and testing. Ideal candidates have 7+ years of hands-on development, strong Python, OOP, and data-structures knowledge, with experience in FastAPI/Flask/Django and CI/CD pipelines.

Qualifications

• 7+ years of hands-on software development experience with Python.
• Strong proficiency in Python programming, OOP, data structures and algorithms.
• Experience building production-grade applications, backend services or automation frameworks.
• Good understanding of REST APIs, microservices and software architecture.
• Experience with frameworks such as FastAPI, Flask or Django.
• Strong experience with SQL and relational databases; exposure to NoSQL databases is a plus.
• Experience with Git, CI/CD and software development best practices.
• Good understanding of testing frameworks such as PyTest.
• Hands-on exposure to AI/ML concepts and frameworks such as Scikit-learn, TensorFlow or PyTorch.
• Exposure to Generative AI, LLMs, RAG, prompt engineering or AI-powered application development will be an advantage.
• Experience integrating AI/ML models or APIs into software applications is highly desirable.
• Strong debugging, problem-solving and analytical skills

Skills

Python

OOP

Data structures

Algorithms

REST APIs

Microservices

Software architecture

FastAPI

Flask

Django

SQL

Relational DBs

NoSQL

Git

CI/CD

PyTest

AI/ML concepts

Scikit-learn

TensorFlow

PyTorch

Generative AI

LLMs

RAG

Prompt engineering

AI integration

Job description

• 7+ years of hands-on software development experience, with strong experience in Python.
• Strong proficiency in Python programming, OOP, data structures and algorithms.
• Experience building production-grade applications, backend services or automation frameworks.
• Good understanding of REST APIs, microservices and software architecture.
• Experience with frameworks such as FastAPI, Flask or Django.
• Strong experience with SQL and relational databases; exposure to NoSQL databases is a plus.
• Experience with Git, CI/CD and software development best practices.
• Good understanding of testing frameworks such as PyTest.
• Hands-on exposure to AI/ML concepts and frameworks such as Scikit-learn, TensorFlow or PyTorch.
• Exposure to Generative AI, LLMs, RAG, prompt engineering or AI-powered application development will be an advantage.
• Experience integrating AI/ML models or APIs into software applications is highly desirable.
• Strong debugging, problem-solving and analytical skills