Oxydata & TechTalent
Applied Generative AI Engineer
- Compensation
- Not disclosed
- Location
- Kuala Lumpur
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 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.
Nice to have
- Exposure to software testing or test automation (test case design, automated test scripts).
- Experience deploying and running open-weight LLMs.
- Exposure to a regulated industry (banking or financial services).
- Cloud certification (AWS, Azure or GCP); AI/ML or LLM-specific certifications.
- TOGAF/ArchiMate exposure.
- Familiarity with emerging AI trends and their practical application within banking and financial services.
- Ability to manage multiple competing priorities under pressure.
- Ability to communicate effectively, verbally and in writing, with technical and non-technical audiences.
- Comfortable acting as the translator between business/compliance stakeholders and the technical build.
Full description
Applied Generative AI Engineer
Location: Kuala Lumpur, Malaysia
Work Mode: Onsite
Employment type: Permanent
Experience Level: 3–6 years
Work Eligibility: Applicants must have the legal right to work in Malaysia. Visa sponsorship is not available for this position.
Our client is a leading financial group in ASEAN, committed to advancing customers and society through innovative solutions and a strong sustainability focus. With a presence across multiple countries, they are dedicated to moving individuals, businesses, and communities forward with confidence. They prioritize their people and aim to create a positive societal impact beyond traditional banking.
We are seeking an experienced Applied Generative AI Engineer to drive the adoption and integration of AI tools across engineering, testing, and business teams.
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.
Requirements
Must-have:
- Bachelor's degree in Computer Science, Information Technology or a related field, or equivalent experience.
- 3–6 years of hands-on software engineering experience.