We are seeking a skilled Python Engineer to support the development and validation of Generative AI systems. The ideal candidate will work on integrating and customizing the Guardrail library to enforce safety, reliability, and compliance in GenAI outputs. You will also design and implement robust test and validation scripts, particularly for Retrieval-Augmented Generation (RAG) pipelines.

Key Responsibilities:

• 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

• Familiarity with LLM evaluation techniques and safety frameworks such as Guardrail AI, Nemo Guardrails, Llama Guard..etc

Job Requirements:

• Strong proficiency in Python.

• Hands-on experience in Generative AI ( especially RAG architectures) and software engineering. Preferably 1 year experience in Gen AI Engineering & 3 years in AI Engineering.

• Client-facing experience

• Availability within 2 weeks.

• Already based in Singapore.

• 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.