[Hiring] Full Stack AI Engineer @N Human Resources & Management Systems

Role Description

We are looking for a hands-on Full Stack AI Engineer with strong software engineering skills and practical experience building Generative AI / LLM-powered applications. The ideal candidate should have experience across backend and frontend development, AI/LLM integration, APIs, databases, and cloud platforms, with the ability to build scalable, production-ready AI applications.

Key Responsibilities

• Design, develop and maintain full-stack Generative AI applications.
• Build robust backend systems and APIs for AI-driven products and agent-based applications.
• Integrate LLMs and GenAI models into production-ready applications.
• Develop user-facing applications using modern frontend technologies.
• Work with agentic AI frameworks such as LangChain, LangGraph or Semantic Kernel.
• Develop and integrate REST/GraphQL APIs and work with SQL/NoSQL databases.
• Containerise applications using Docker and deploy solutions on cloud platforms.
• Implement logging, monitoring, tracing and validation for AI applications.
• Follow strong software engineering practices including code reviews, testing and documentation.
• Collaborate with AI engineers, data scientists and technical teams to deliver end-to-end AI solutions.

Qualifications

• 5–6 years of professional software engineering/full-stack development experience.
• Strong hands-on experience with Python, preferably Django.
• Strong experience with JavaScript/TypeScript and React.
• Experience building backend systems, APIs and data-driven applications.
• Practical experience with Generative AI, LLMs and AI-powered applications.
• Experience/exposure to LangChain, LangGraph, Semantic Kernel or similar frameworks.
• Strong understanding of REST/GraphQL APIs, backend architecture and data modelling.
• Experience with SQL and/or NoSQL databases.
• Hands-on experience with Docker and cloud platforms such as GCP/Azure.
• Good understanding of software design principles and system design.
• Strong problem-solving and debugging skills.

Preferred

• Experience taking AI/GenAI applications from development to production.
• Exposure to model deployment, monitoring, guardrails and LLM application security.
• Experience in consulting, product or start-up environments.
• Familiarity with machine learning, data science and large-scale data processing.

Benefits

• CTC: ₹25–35 LPA
• Notice Period: Immediate Joiners / Up to 30 Days