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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