Generative AI Engineer for Banking AI Adoption (KL Onsite)

Oxydata Software Sdn Bhd; Kuala Lumpur; Hybride; MYR 120 000 - 180 000; Plein temps

Résumé du poste

Oxydata Software Sdn Bhd in Kuala Lumpur, Malaysia, is seeking an Applied Generative AI Engineer to drive AI tool adoption across engineering, testing, and business teams. This onsite permanent role requires 3–6 years of experience and a strong Python/LLM background.

You will deploy and maintain AI tools, build AI-driven workflows, collaborate with Enterprise Architecture and Governance, and own end-to-end AI integrations from development to production, including security and data handling.

Qualifications

• Bachelor's degree in CS/IT or equivalent experience.
• 3–6 years of hands-on software engineering experience.
• Right to work in Malaysia; visa sponsorship not available.

Responsabilités

• Deploy, integrate, and maintain AI tools and LLMs across platforms.
• Automate test generation and scripts with AI, in collaboration with testers.
• Roll out AI-driven solutions to improve coding productivity.
• Collaborate with business users on AI in requirements and business cases.
• Own end-to-end development, deployment, and production support for AI integrations.
• Create internal playbooks, training materials, and governance guardrails.

Connaissances

Python

FastAPI/AsyncIO

Pydantic

TypeScript/Node.js

GitHub API

Jira/Confluence APIs

Dynatrace integration

LLM/Agent frameworks

Docker

REST API design

CI/CD basics

Cloud basics (AWS/GCP/Azure)

Vector DBs (pgvector/Qdrant/Chroma)

Formation

Bachelor's degree in CS/IT or related

Outils

Dynatrace

GitHub

Jira

Confluence

LangGraph

AutoGen

Claude/OpenAI APIs

AWS/GCP/Azure

pgvector/Qdrant/Chroma

Description du poste

Oxydata Software Sdn Bhd in Kuala Lumpur, Malaysia, is seeking an Applied Generative AI Engineer to drive AI tool adoption across engineering, testing, and business teams. This onsite permanent role requires 3–6 years of experience and a strong Python/LLM background.

You will deploy and maintain AI tools, build AI-driven workflows, collaborate with Enterprise Architecture and Governance, and own end-to-end AI integrations from development to production, including security and data handling.