Python Engineer – Generative Ai / Rag / Guardrails

SG, Singapore

Job Description

Role Overview



We are seeking a highly skilled

Python Engineer

to join our team supporting the development and validation of

Generative AI (GenAI)

systems for our client,

DMO

.


The successful candidate will work on

safety, compliance, and validation frameworks

for Large Language Model (LLM) applications -- particularly focusing on

Guardrail

integrations and

RAG pipelines

.


Key Responsibilities



Develop and maintain

Python scripts

for testing and validating Generative AI models. Integrate and customize

Guardrail AI libraries

to enforce output safety, reliability, and compliance. Design validation frameworks for

Retrieval-Augmented Generation (RAG)

systems. Collaborate closely with AI Governance and Product teams to ensure secure and robust GenAI solutions. Contribute to automation, documentation, and performance optimization of GenAI validation pipelines.

Requirements



Strong proficiency in Python

and software engineering best practices.

Hands-on experience

with

Generative AI

architectures (minimum 1 year). At least

3 years' experience

in

AI / ML Engineering

or related fields. Familiarity with

LLM evaluation

and

safety frameworks

such as Guardrail AI, Nemo Guardrails, or Llama Guard. Experience with

LangChain, LlamaIndex,

or similar frameworks is an advantage. Knowledge of

prompt engineering

and

model governance

is desirable. * Excellent communication and client-facing skills.

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Job Detail

  • Job Id
    JD1660927
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    SG, Singapore
  • Education
    Not mentioned