Role Involves :

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.

- Strong experience with JavaScript/TypeScript and React.

- 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.