About the role
We are looking for a passionate AI Engineer (Full Stack) with hands-on experience in building production-ready AI applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Machine Learning, and Natural Language Processing (NLP)The ideal candidate should have strong full-stack development expertise and the ability to build scalable AI solutions from backend intelligence to frontend experiences.
Responsibilities:
- Design, develop, and deploy AI-powered full-stack applications.
- Build and optimise LLM- and RAG-based solutions for real-world business use cases.
- Develop scalable backend services and intuitive frontend interfaces.
- Integrate AI models into production-ready applications.
- Collaborate with Product, Design, and Engineering teams to deliver innovative AI solutions.
- Optimise application performance, scalability, and reliability.
- Stay updated with the latest advancements in generative AI and AI engineering.
Requirements:
- 2-5 years of experience in AI engineering or full-stack development.
- Strong hands-on experience with large language models (LLMs).
- Experience implementing Retrieval-Augmented Generation (RAG) pipelines.
- Good understanding of machine learning (ML) and natural language processing (NLP).
- Experience in full-stack development (frontend and backend).
- Experience building and consuming REST APIs.
- Knowledge of SQL/NoSQL databases.
- Proficiency with Git and modern development workflows.
- Strong analytical, debugging, and problem-solving skills.
Good to Have:
- Experience with AI agent frameworks or agentic AI.
- Hands-on experience with LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Experience with Vector Databases and Embedding Models.
- Exposure to Docker, Kubernetes, and CI/CD pipelines.
- Experience deploying AI applications on AWS, Azure, or GCP.