Python & AI Developers

Jobgether; India; Remote; INR 2,000,000 - 3,200,000; Full time

Benefits offered by this job

Remote work across India

Flexibility in location (Bangalore/Pun

Job summary

Jobgether, on behalf of a partner company in India, seeks a Python & AI Developer to build reliable, scalable software powering modern AI applications and backend services. You will work across backend engineering, AI model integration, data processing, and cloud deployment.

You will collaborate with data scientists and ML engineers to bring AI capabilities into real-world applications. This hands-on role emphasizes strong software fundamentals and practical AI development.

Qualifications

• 3–6 years of professional software development experience.
• Proficient in Python and software engineering principles.
• Experience with FastAPI, Django, or Flask.
• Experience integrating ML models/LLMs into software applications.
• Familiarity with Pandas and NumPy.
• Experience with pytest or similar testing frameworks.

Responsibilities

• Design, develop, and maintain backend services, APIs, microservices, and asynchronous tasks using Python and frameworks such as FastAPI, Django, or Flask.
• Build scalable RESTful services and backend components for AI applications.
• Develop model-serving layers for ML models with low latency and high reliability.
• Containerize applications with Docker and support CI/CD deployments.
• Collaborate with data scientists to translate AI concepts into production-ready solutions.

Skills

Python

FastAPI

Django

RESTful APIs

Microservices

Docker

CI/CD

Pandas

NumPy

pytest

Education

Bachelor's degree in Computer Science/Software Engineering/AI

Tools

Git

Linux

Docker

Cloud infrastructure

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Python & AI Developer based in India.

We are seeking a versatile Python and AI developer to build reliable, scalable software that powers modern AI applications and backend services. You will work across backend engineering, AI model integration, data processing, and cloud deployment. The role involves turning experimental models and complex algorithms into robust, production-ready systems capable of operating reliably at scale. You will collaborate closely with data scientists and machine learning engineers to bring AI capabilities into real-world applications. You will have the opportunity to work with modern Python frameworks, automated testing, containerization, and cloud technologies. This is a hands‑on engineering role suited to developers who enjoy combining strong software fundamentals with practical AI development.

Accountabilities

• Design, develop, and maintain robust backend services, APIs, microservices, and asynchronous task workers using Python and frameworks such as FastAPI, Django, or Flask.
• Build scalable RESTful services and backend components capable of supporting high-volume AI applications and workloads.
• Develop optimized model-serving layers for machine learning models and Large Language Models, with a focus on inference performance, reliability, and low latency.
• Integrate third‑party AI services, machine learning models, and intelligent application components into production software systems.
• Design and maintain reliable ETL and data‑processing pipelines for structured and unstructured data used by AI and machine learning applications.
• Use libraries such as Pandas and NumPy to support data transformation, processing, and preparation workflows.
• Write comprehensive automated tests using tools such as pytest and maintain strong standards for code quality, documentation, maintainability, and reliability.
• Participate in code reviews and contribute to engineering standards, reusable components, and continuous improvement initiatives.
• Containerize applications using Docker and support deployments across cloud environments through CI/CD pipelines.
• Monitor, troubleshoot, and optimize applications to improve scalability, stability, performance, and operational efficiency.
• Collaborate with data scientists, machine learning engineers, and other software developers to translate AI concepts and prototypes into production‑ready solutions.

Requirements

• 3–6 years of professional software development experience, with advanced proficiency in Python and strong knowledge of software engineering principles.
• Hands‑on experience building backend applications, RESTful APIs, microservices, or asynchronous services using Python.
• Practical experience with modern Python frameworks such as FastAPI, Django, or Flask.
• Strong understanding of JSON, API design, relational databases, and/or NoSQL databases.
• Experience integrating machine learning models, LLMs, third‑party AI APIs, or other AI‑enabled technologies into software applications.
• Familiarity with data‑processing and scientific Python libraries, particularly Pandas and NumPy.
• Experience developing automated tests using pytest or comparable testing frameworks.
• Working knowledge of Docker, Git, Linux environments, and fundamental cloud infrastructure concepts.
• Understanding of CI/CD principles and experience supporting automated build, testing, and deployment workflows.
• Strong problem‑solving and analytical skills, with an ability to debug complex software and AI‑related issues.
• Strong communication and collaboration skills, with the ability to work effectively alongside data scientists, ML engineers, and software engineering teams.
• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related technical field.

Benefits

• Annual compensation of approximately INR 2,000,000–3,200,000 CTC, depending on experience and skills.
• Full‑time, mid‑to‑senior‑level employment opportunity.
• Remote‑friendly working model with flexibility across India.
• Location options including Bangalore, Pune, hybrid, or remote across India.
• Opportunity to work at the intersection of software engineering and artificial intelligence.
• Hands‑on exposure to Python, modern backend frameworks, AI/ML model serving, data pipelines, Docker, CI/CD, and cloud technologies.
• Opportunity to collaborate with experienced data scientists, machine learning engineers, and software developers.
• Exposure to production‑scale AI applications and technically challenging engineering projects.
• Environment focused on clean code, engineering quality, automation, scalability, and continuous technical improvement.