Senior AI Engineer
Unison Group Open · verified Oct 22, 2026 At a glance
Senior AI Engineering role at Unison Group. Kuala Lumpur · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and release agent-based chatbots with Google ADK for use across four markets
- Shape multi-agent workflows, covering handoffs, tool use, memory and context handling
- Connect the AI systems to enterprise software, knowledge stores and APIs
- Improve model response speed and capacity, then document the technical design
- Review code, guide engineers and work with software teams to test production readiness
What you bring
- At least eight years working in software or AI engineering
- Three or more years building production LLM or conversational AI systems
- Strong command of Google Cloud AI, including GCP or Vertex AI
- Advanced Python skills and experience with multi-agent orchestration
Who this fits
This suits a senior, hands-on individual contributor who wants to build and evolve production AI systems rather than handle project administration. The role is onsite in Kuala Lumpur, Malaysia.
From the employer
Role Overview
We are seeking two highly experienced Senior AI Engineers to serve as the technical backbone of our agentic chatbot rollout across four markets. These are deeply hands-on individual contributor roles — you will own solution implementation of AI stack built on Google ADK, Apigee, Model Armor, and SDP. Administrative, coordination, or project management tasks are explicitly out of scope; your mandate is to build, ship, and evolve production AI systems.
Key Responsibilities
• Build and deploy agentic chatbot solutions using Google Agent Development Kit (ADK)
• Design and maintain multi-agent workflows, including agent handoffs, tool chains, memory management, and context optimization
• Lead integrations with enterprise systems, knowledge bases, and APIs
• Optimize LLM inference performance, latency, and scalability
• Produce and maintain technical architecture and design documentation
• Conduct code reviews, mentor engineers, and enforce engineering best practices
• Collaborate with software engineering teams on integration testing and production readiness
Requirements
Required Skills
• Google Agent Development Kit (ADK)
• Google Cloud Platform (GCP) / Vertex AI
• Python (Advanced)
• Multi-Agent Orchestration
• LLM Fine-Tuning & RAG
• Prompt Engineering
• Apigee API Gateway
• Google Model Armor
• Google SDP / DLP API
• REST APIs
• Docker & Kubernetes
• Vector Databases
• CI/CD (Cloud Build)
Qualifications
• 8+ years of Software Engineering / AI Engineering experience
• Minimum 3 years of hands-on experience building production-grade LLM or Conversational AI solutions
• Strong experience with Google Cloud AI ecosystem
• Experience delivering AI solutions in regulated industries such as Banking, Telco, or Healthcare is preferred
• Deep understanding of Responsible AI, Safety Guardrails, Explainability, and Data Privacy
• Proven experience leading end-to-end technical delivery
• Excellent communication and stakeholder management skills