Generative AI Engineer: Lead Bank-Wide AI Adoption

Oxydata & TechTalent

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

8 days ago

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Job summary

Oxydata & TechTalent seeks an experienced Applied Generative AI Engineer to drive AI tool adoption across engineering, testing, and business teams in Kuala Lumpur. This onsite, permanent role targets 3–6 years of hands-on software engineering experience.

You will deploy AI tools, automate test generation, and develop AI-driven solutions, collaborating with stakeholders to deliver scalable agentic workflows and robust governance.

Qualifications

  • Bachelor's degree in Computer Science, Information Technology or a related field, or equivalent experience.
  • 3–6 years of hands-on software engineering experience.
  • Applicants must have the legal right to work in Malaysia. Visa sponsorship is not available.
  • Strong proficiency in Python (FastAPI, AsyncIO, Pydantic) or TypeScript/Node.js.
  • Practical experience integrating tools into Dynatrace, GitHub, Jira and/or Confluence via APIs (GitHub API, Atlassian API) and webhooks.
  • Hands-on experience building agentic or LLM-powered workflows using frontier model APIs (Claude, OpenAI or similar) and agent frameworks (LangGraph, AutoGen or custom orchestration).
  • Working knowledge of Docker, REST API design, CI/CD and basic cloud infrastructure (AWS, GCP or Azure).
  • Familiarity with vector databases (pgvector, Qdrant, Chroma) and RAG pipeline basics.
  • Understanding of IT governance, access control and audit requirements in a regulated environment.
  • Able to work independently and own development, deployment and production support end to end.
  • Ability to turn a vague stakeholder request into a working automation that people actually adopt.
  • Bias toward shipping and iterating over building the "perfect" architecture.

Responsibilities

  • Deploy, integrate, and maintain off-the-shelf AI tools and LLMs within the bank's engineering and business platforms, including GitHub, Jira, and Confluence.
  • Automate test case generation and test scripts using AI, collaborating closely with testing engineers.
  • Roll out AI-driven solutions to support developers and enhance coding productivity.
  • Work with business users to apply AI in requirements gathering and business case development.
  • Own the end-to-end development, deployment and production support for all AI integrations, tracking usage, cost, and reliability.
  • Create internal playbooks, training materials, and support processes to facilitate AI tool adoption across teams.
  • Establish and maintain governance guardrails for AI tool usage, including access control, audit logging, and data handling, in line with regulatory standards.
  • Translate business logic and manual processes into multi-step agentic workflows using leading LLM APIs and agent frameworks.
  • Build document parsing and ETL pipelines to structure unstructured data into usable formats.
  • Design retrieval architectures combining vector search and relational data to provide accurate context for AI agents.
  • Implement evaluation, tracing, and hallucination guardrails for production AI workflows.
  • Collaborate with Enterprise Architecture, Application Support, Infrastructure, Governance, and business stakeholders to ensure alignment of AI initiatives.

Skills

Python
TypeScript
APIs integration
LLM workflows
Docker
CI/CD

Education

Bachelor's degree in CS/IT or equivalent

Tools

GitHub
Jira
Confluence
Dynatrace

Job description

Oxydata & TechTalent seeks an experienced Applied Generative AI Engineer to drive AI tool adoption across engineering, testing, and business teams in Kuala Lumpur. This onsite, permanent role targets 3–6 years of hands-on software engineering experience.

You will deploy AI tools, automate test generation, and develop AI-driven solutions, collaborating with stakeholders to deliver scalable agentic workflows and robust governance.

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