Python Engineer with AI

Must have expertise on python

Role Overview

We are seeking a highly experienced Full Stack Engineer with deep expertise in Spring Boot (Java), Python, React JS, and MongoDB, coupled with strong exposure to AI-driven applications and end-to-end product development.

The ideal candidate is a self-driven expert systems developer who can conceptualize, design, build, and scale complex applications independently, while adhering to modern SDLC practices and Agile methodologies.

This role requires strong engineering fundamentals, hands-on coding expertise, and the ability to lead the development of scalable, intelligent, and cloud-native applications.

Key Responsibilities

• Design, develop, and deploy end-to-end full stack applications using Spring Boot, Python, React JS, and MongoDB

• Build and integrate AI/ML-driven features into enterprise platforms (e.g., intelligent workflows, , Bot frameworks, Performance enhancements, LLM integrations, Resiliency patterns etc)

• Architect scalable, resilient, and high-performance microservices-based systems

• Own the complete Software Development Lifecycle (SDLC) — from requirements, design, development, testing, to deployment and support

• Develop reusable APIs, services, and UI components with a focus on performance and reliability

• Collaborate with cross-functional teams including product, AI/ML engineers, DevOps, and stakeholders

• Implement and optimize CI/CD pipelines and DevOps practices

• Drive code quality, design patterns, and engineering best practices

• Continuously evaluate and adopt emerging technologies, especially in AI and automation ecosystems

Required Qualifications

• 12+ years of software engineering experience, or equivalent practical expertise

• Proven expertise in full stack development and system design with Python, Spring boot Java and React Technologies

• Expertise with Secure coding practices

• Strong experience working in Agile/Scrum environments

• Exposure to platform engineering and large-scale system optimization

• Experience in low-latency, high-throughput systems

• Knowledge of enterprise architecture patterns

________________________________________

Core Technical Skills

Backend & API Development

• Expert in Java (Spring Boot) for microservices and enterprise backend systems

• Strong proficiency and hands-on development with Python (including frameworks like FastAPI, Flask, or Django)

• Experience building RESTful and event-driven architectures

Frontend Development

• Advanced hands-on experience with React JS

• Strong understanding of modern UI/UX principles, state management, and performance optimization

Database Technologies

• Deep expertise in MongoDB (NoSQL)

• Good understanding of SQL and hybrid data models

AI & Intelligent Systems

• Hands-on experience integrating AI/ML models or APIs

• Exposure to LLMs, NLP, or intelligent automation systems

• Experience building AI-powered applications or expert systems is highly preferred

________________________________________

Cloud, DevOps & Automation

• Strong experience with CI/CD pipelines (GitHub Actions, Jenkins, or similar)

• Familiarity with cloud platforms

• Experience with build and automation tools: Maven, Gradle

• Proficiency in scripting: Python, Bash, Shell

________________________________________

Architecture & Integration

• Experience with microservices architecture and distributed systems

• Messaging platforms: Kafka, Solace, or similar streaming technologies

• Strong understanding of system scalability, resilience, and observability

________________________________________

Monitoring & Observability

• Experience with tools such as:

o Elastic Stack (ELK)

o Grafana, Kibana

o Splunk, AppDynamics

• Ability to define metrics, alerts, and performance dashboards

________________________________________

SDLC & Engineering Excellence

• Deep expertise in end-to-end SDLC practices

• Experience with:

o Version control systems (GitHub)

o Release management

o Automated testing frameworks

• Strong understanding of:

o Code quality standards

o Secure coding practices

o Performance tuning