Full Stack AI Engineer( 5+ years)

N Human Resources & Management Systems; Bengaluru Urban; On-site; INR 1,900,000 - 2,700,000; Full time

Job summary

N Human Resources & Management Systems in Bangalore North, India, is seeking a hands-on Full Stack AI Engineer with 5+ years of experience to build Generative AI applications. You will work across backend, frontend and AI/LLM integration, delivering production-ready solutions.

The role requires strong Python (Django), REST/GraphQL APIs, Docker, and cloud platforms (GCP/Azure). You will collaborate with data scientists and AI engineers to ship scalable AI products.

Qualifications

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

Responsibilities

• Design, develop and maintain full-stack Generative AI apps.
• Build backend systems and APIs for AI-driven products.
• Integrate LLMs and GenAI models into production apps.
• Create user-facing frontends with modern tech.
• Use LangChain, LangGraph or Semantic Kernel.
• Implement REST/GraphQL APIs and manage SQL/NoSQL databases.
• Containerise with Docker and deploy on cloud.
• Add logging, monitoring and validation for AI apps.
• Follow code reviews, testing and documentation practices.
• Collaborate with AI engineers and data scientists.

Skills

Python

Django

LLMs / Generative AI

REST/GraphQL APIs

Docker

Cloud platforms (GCP/Azure)

LangChain / LangGraph / SemanticKernel

SQL / NoSQL databases

Frontend technologies

Software architecture & design

Tools

LangChain

LangGraph

Semantic Kernel

Docker

GCP

Azure

Job description

N Human Resources & Management Systems | Full time

Full Stack AI Engineer( 5+ years)

Bangalore North, India

About the Role

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.
  

Required Skills

• 5–6 years of professional software engineering/full-stack development experience.
  
• Strong hands‑on experience with Python , preferably Django.
  
• 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.