Full Stack AI Engineer

Full Stack AI Engineer

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.
  
• 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.
  

Interested candidates can apply with their updated resume.