AI Engineer

Responsibilities:

• Design and develop scalable LLM-based applications using Python.
• Build and optimise RAG (Retrieval-Augmented Generation) pipelines.
• Develop multi-agent systems and orchestration workflows.
• Integrate LLMs with APIs, databases, and enterprise systems.
• Work with vector databases (e. g., FAISS, Pinecone, Chroma).
• Implement prompt engineering, evaluation, and optimisation techniques.
• Collaborate with business teams to assist in translating business problems into AI solutions.
• Continuously experiment with new models, frameworks, and architectures.

Requirements:

• 2-3 years of hands-on experience in Python development.
• Strong understanding of data structures, algorithms, and system design fundamentals.
• Experience or exposure to LLMs / Generative AI frameworks (LangChain, LlamaIndex, etc. )
• Familiarity with REST APIs, backend systems, and integrations.
• Basic understanding of machine learning concepts.
• Experience with Git, Docker, and modern development workflows.
• Bachelor's or Master's degree in Computer Science or a related field.