Full Stack AI Engineer

United HR Solutions Pvt. Ltd.; Ahmedabad District; On-site; INR 2,000,000 - 4,000,000; Full time

Job summary

United HR Solutions Pvt. Ltd. is seeking a hands-on Full Stack AI Engineer with strong software engineering skills to build Generative AI/LLM-powered applications.

The role covers backend and frontend development, integration of AI models, APIs and data-driven systems, and deployment on cloud platforms. The ideal candidate will have 5–6 years of professional experience in full-stack development, solid Python/Django expertise, and a track record of delivering production-ready AI solutions with

Qualifications

• 5-6 years of professional software engineering/full-stack development experience.
• Strong hands-on programming experience in Python, preferably Django.
• Experience building backend systems, APIs and data-driven applications.
• Practical experience with Generative AI, LLMs and AI-powered applications.
• Exposure to agentic frameworks such as LangChain, LangGraph, Semantic Kernel or similar.
• 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 or similar.
• Good understanding of software design principles and system design.
• Strong problem-solving and debugging skills.
• Good communication skills and ability to work collaboratively in a fast-paced environment.

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 scalable, production-ready applications.
• Develop user-facing applications using modern frontend technologies.
• Build reusable components and frameworks for model integration, deployment and monitoring.
• Implement appropriate logging, monitoring, tracing and validation for AI applications.
• 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.
• Follow strong software engineering practices, including code reviews, testing and documentation.
• Collaborate with data scientists, AI engineers and other technical teams to deliver end-to-end AI solutions.

Skills

Python

Django

APIs

Generative AI

LLMs

LangChain

LangGraph

Semantic Kernel

REST/GraphQL

SQL/NoSQL

Docker

Cloud platforms

Software design

Debugging

Communication

Tools

LangChain

LangGraph

Semantic Kernel

Job 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 will 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.

Required Skills & Experience

• 5-6 years of professional software engineering/full-stack development experience.
• Strong hands-on programming experience in Python, preferably Django.
• Experience building backend systems, APIs and data-driven applications.
• Practical experience working with Generative AI, LLMs and AI-powered applications.
• Exposure to agentic frameworks such as LangChain, LangGraph, Semantic Kernel or similar.
• 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 or similar.
• Good understanding of software design principles and system design.
• Strong problem-solving and debugging skills.
• Good communication skills and ability to work collaboratively in a fast-paced environment.

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 scalable, production-ready applications.
• Develop user-facing applications using modern frontend technologies.
• Build reusable components and frameworks for model integration, deployment and monitoring.
• Implement appropriate logging, monitoring, tracing and validation for AI applications.
• 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.
• Follow strong software engineering practices, including code reviews, testing and documentation.
• Collaborate with data scientists, AI engineers and other technical teams to deliver end-to-end AI solutions.

Preferred

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