Develop and maintain Python scripts for testing and validating GenAI models.
Build the the Guardrail library to enforce output constraints and safety checks.
Design validation frameworks for RAG-based GenAI systems.
Collaborate with AI Governance team and product teams t
Strong proficiency in Python.
Hands-on experience with Generative AI, especially RAG architectures.
Familiarity with LLM evaluation techniques and safety frameworks such as Guardrail AI, Llama Guard..etc
Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
Knowledge of prompt engineering and model governance is desirable.
Requirements:
More than 1 year of experience on Gen AI Engineering, more than 3 years of experience on AI Engineering is preferable.
Strong proficiency in Python.
Hands-on experience with Generative AI, especially RAG architectures.
Familiarity with LLM evaluation techniques and safety frameworks.
Experience with libraries like LangChain, LlamaIndex, or similar is a plus.
* Knowledge of prompt engineering and model governance is desirable.
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