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Job summary
A leading executive search firm is seeking a mid-senior level candidate for an AI integration role. The position requires experience in building LLM-powered applications and familiarity with agentic AI frameworks. The role offers the opportunity to improve developer productivity and requires relocation to Malaysia. It involves collaborating closely with engineering and DevOps teams to integrate AI across development toolchains. Full-time employment is available.
Qualifications
Proven track record in building or integrating LLM-powered applications.
Experience with agentic AI frameworks (Langchain, LlamaIndex, etc.).
Familiarity with developer tooling and productivity workflows.
Responsibilities
Create and integrate AI copilots and intelligent code assistants.
Establish standards for AI adoption in engineering teams.
Build and maintain a comprehensive AI integration platform.
Create and integrate AI copilots, intelligent code assistants, and agent frameworks to improve developer productivity and code quality.
Establish standards, workflows, and guardrails for safe and effective AI adoption in engineering teams.
Build and maintain a comprehensive AI integration platform that embeds intelligent agents safely across the entire development toolchain—from IDEs and version control to CI/CD pipelines and deployment systems
Define policies, audit mechanisms, and compliance practices for enterprise-grade AI systems.
Work closely with engineering, security, and DevOps teams to integrate AI across development toolchains.
Start with proof-of-concepts, refine through developer feedback, and scale solutions across teams globally.
Requirements
Position is based in Kuala Lumpur, Malaysia. Candidate MUST BE open to relocate to Malaysia. Employment Pass would be sponsored by employer.
Proven track record in building or integrating LLM-powered applications
Experience with agentic AI frameworks (Langchain, LlamaIndex, Autogen, MCP, CrewAI, Semantic Kernel)
Familiarity with developer tooling (GitHub Enterprise, CI/CD pipelines, Jira) and productivity workflows.
Understanding of security, governance, and compliance in enterprise AI adoption.
Passion for human-AI collaboration and improving the developer experience.