Software Development Engineer

Mployee.me; Dadri; Remote; INR 1,200,000 - 1,800,000; Full time

Job summary

Mployee.me in India is seeking a Full Stack Software Engineer with strong Python development to build scalable, reliable applications and own features end-to-end. You will work in an AI-native engineering environment and apply AI-powered tools to boost productivity and code quality.

You will design and deploy backend services and REST APIs using Python, collaborate with cross-functional teams, and continuously improve performance, security, and maintainability in distributed cloud-native

Qualifications

• 3+ years of professional software engineering experience.
• Hands-on Python production experience.
• Experience building backend services and APIs.
• Experience with AI coding tools in development workflow.
• Ability to own features end-to-end and solve complex problems.

Responsibilities

• Design, develop, test, and deploy scalable frontend and backend apps.
• Own features end-to-end from analysis to production support.
• Build production-grade backend services and REST APIs with Python.
• Leverage AI coding tools to accelerate development and testing.
• Adopt AI Development Life Cycle practices to improve workflows.
• Design databases and cloud-native architectures.
• Identify performance, scalability, reliability, and security improvements.
• Collaborate with Product, Design, AI, and Engineering teams.
• Take ownership of technical challenges and drive solutions.
• Participate in architecture, design reviews, code reviews, testing, docs.

Skills

Python

REST APIs

RDBMS

NoSQL

Distributed systems

AI coding tools

Problem-solving

Independent ownership

Tools

GitHub Copilot

Cursor

Claude Code

Cloud platforms (AWS, GCP, Azure)

Job description

Role Overview

We are looking for a skilled Full Stack Software Engineer with strong Python development experience and a passion for building scalable, reliable, and high-performance applications. The ideal candidate should have hands-on experience developing production-grade applications, owning features end-to-end, and leveraging AI-powered development tools to enhance engineering productivity and code quality.

The candidate should be comfortable working in an AI-native engineering environment, solving complex technical challenges, and taking ownership of delivering impactful solutions.

Key Responsibilities

• Design, develop, test, and deploy scalable, efficient, and reusable frontend and backend applications.
• Own features end-to-end, from requirement analysis and solution design to development, testing, deployment, and production support.
• Build and maintain production-grade backend services and REST APIs using Python.
• Leverage AI coding tools throughout the software development lifecycle to accelerate development, generate tests, debug issues, and improve code quality.
• Adopt AI Development Life Cycle (AIDLC) practices and continuously improve engineering workflows.
• Design and work with relational databases (RDBMS), NoSQL databases, distributed systems, and cloud-native architectures.
• Identify and implement improvements in application performance, scalability, reliability, security, and maintainability.
• Collaborate with Product, Design, AI, and Engineering teams to translate business requirements into scalable technical solutions.
• Take ownership of technical challenges, proactively identify issues, and drive solutions independently.
• Participate in architecture discussions, design reviews, code reviews, testing, and technical documentation.

Required Skills & Qualifications

• 3+ years of professional software engineering experience.
• Strong hands-on experience with Python and building production-grade applications and backend services.
• Good understanding of REST APIs, RDBMS, NoSQL databases, and distributed systems.
• Experience building and integrating end-to-end applications.
• Hands-on experience using AI coding tools such as GitHub Copilot, Cursor, Claude Code, or similar tools as part of the development process.
• Understanding of AI-assisted software development practices, including code generation, test generation, debugging, code reviews, and documentation.
• Strong problem-solving and analytical skills.
• Understanding of system design, scalability, performance, and application architecture.
• Ability to work independently, take ownership, and deliver solutions with minimal supervision.
• Strong learning mindset, adaptability, and willingness to work on challenging technical problems.

Good to Have

• Experience building Agentic AI applications or AI-powered workflows.
• Knowledge of LLMs, RAG, Tool Calling, MCP, AI Agents, and Agent Orchestration.
• Experience working with multi-agent systems.
• Experience integrating AI capabilities into production applications.
• Familiarity with evaluating, monitoring, and optimizing AI-powered applications.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.

Key Expectations

• Strong engineering ownership and an end-to-end delivery mindset.
• Ability to use AI tools effectively as development partners rather than just conversational assistants.
• Systems-thinking approach with an understanding of broader application architecture and customer impact.
• Ability to work in a fast-paced, AI-native engineering environment.
• Proactive attitude towards problem-solving, continuous improvement, and technical excellence.