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Job Description
Structured overview of role & requirementsAbout This Role
Develop and implement GenAI applications using LLMs and frameworks such as Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain.
Write efficient and maintainable Python code for GenAI solutions.
Design architectures for large-scale structured and unstructured data and build robust, scalable, multi-modal LLM applications involving text, vision, and speech.
Minimum Requirements
Proficiency in Python programming and experience with GenAI frameworks (e.g. Autogen, LangChain).
Experience with cloud platforms and application development from ground up.
Experience in designing architectures for large-scale data handling (structured and unstructured).
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in end-to-end GenAI application development, including front-end technologies and API integration.
Skilled in multi-modal LLM applications covering text, vision, and speech modalities.
Capable of architecting scalable AI solutions handling large data sets and integrating advanced AI techniques.