Skills

Must have

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.

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.

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.