Python Engineer – Generative AI
2 weeks ago
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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