Full Stack AI Engineer, 5+ years

atn Human Resources & Management Systems [ nHRMS ]RemoteIN flagIndiaFull-timeAI EngineerMid-levelSenior₹2.5M – ₹3.5M/year

Posted Sep 9

This is a fully remote position, open to applicants in India.

📋 Description

• Design, develop, and maintain full-stack Generative AI applications.

• Create robust backend systems and APIs for AI-driven products and agent-based solutions.

• Integrate LLMs and Generative AI models into production-ready applications.

• Develop user-facing applications utilizing modern frontend technologies.

• Collaborate with agentic AI frameworks such as LangChain, LangGraph, or Semantic Kernel.

• Develop and integrate REST/GraphQL APIs, and work with SQL/NoSQL databases.

• Containerize applications using Docker and deploy solutions on cloud platforms.

• Implement logging, monitoring, tracing, and validation for AI applications.

• Adhere to software engineering practices, including code reviews, testing, and documentation.

• Collaborate with AI engineers, data scientists, and technical teams to deliver comprehensive AI solutions.


⛳️ Requirements

• 5–6 years of professional experience in software engineering or full-stack development.

• Strong hands-on experience with Python, preferably using Django.

• Proficient in JavaScript/TypeScript and React.

• Experience in building backend systems, APIs, and data-driven applications.

• Practical knowledge of Generative AI, LLMs, and AI-powered applications.

• Experience or exposure to frameworks like LangChain, LangGraph, Semantic Kernel, or similar.

• Solid understanding of REST/GraphQL APIs, backend architecture, and data modeling.

• Experience with SQL and/or NoSQL databases.

• Hands-on experience with Docker and cloud platforms such as GCP or Azure.

• Good understanding of software design principles and system design.

• Strong problem-solving and debugging skills.

• Immediate availability or availability within 30 days.

• An updated resume is required for application.


🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a supportive work environment.

• Health and wellness benefits.

• Engaging company culture with team-building activities.

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