Senior BA / App Manager – Agentic AI (Logistics)

NVD Asia Logistics Hong Kong Limited; Shah Alam; Vor Ort; MYR 120.000 - 180.000; Vollzeit

Zusammenfassung

NVD Asia Logistics Hong Kong Limited is seeking a Senior BA / App Manager to design, build, and optimize AI agents for logistics workflows. You will work with IT, product, development, and operations to reduce manual work and improve automation and response quality.

Key focus areas include prompt engineering, API integration, and building robust agent environments with clear evaluation methods. Strong collaboration with technical and non-technical stakeholders is essential.

Qualifikationen

• 3+ years in digital automation or generative AI projects in a professional or project capacity.
• Hands-on experience building AI agents or conversational AI applications.
• Strong logistics or supply chain operations understanding preferred (warehouse, network planning, last-mile).
• Excellent prompt engineering, few-shot learning, and structured output design.
• Familiarity with REST APIs, JSON, and basic scripting for tool integration.
• Ability to design and run evaluation frameworks for agent performance.

Aufgaben

• Design, build, and optimize AI agents using agentic platforms for logistics problems.
• Create conversational AI workflows and multi-step agent systems integrating tools and APIs.
• Develop prompts and system instructions to improve performance and reliability.
• Model logistics processes like booking, quoting, tracking, documentation, and inquiries.
• Develop robust test harnesses and evaluation scenarios for agent assessment.
• Document prompting patterns, architectures, and integration methods.

Kenntnisse

AI agents

Prompt engineering

REST APIs

JSON

Logistics domain

Stakeholder collaboration

Evaluation frameworks

Problem solving

Conversations / Conversational AI

Jobbeschreibung

Senior BA / App Manager - Agentic AI (Logistics)

We are hiring a Business Analyst to design, build, and optimize AI agents using an agentic AI platform. This role focuses on solving real logistics workflow problems by combining strong prompt engineering skills, practical understanding of APIs and tools, and the ability to translate business logic into reliable agent behavior. You will work closely with IT, product, developers, and operations teams to deliver agents that reduce manual workload, improve response quality, and unlock new automation opportunities for the business.

Key responsibilities

• Design, develop, and optimize AI agents using agentic platforms to solve real-world business problems
• Build conversational AI workflows and multi-step agent systems that integrate with existing tools and APIs
• Create and continuously refine prompts and system instructions to improve agent performance, reliability, and user experience
• Use workflow builders, tools, and functions to model logistics processes such as booking, quoting, track & trace, documentation, and customer inquiries
• Shift focus from raw model prompting to building structured execution environments, dynamic prompt orchestration, and robust test harnesses for model evaluations
• Design reusable harness patterns, multi-agent context wrappers, and programmatic guardrails to enforce operational consistency across agents
• Conduct tests to evaluate agent performance, identify areas for improvement in reasoning, accuracy, and task completion
• Design effective evaluation frameworks and test scenarios based on real customer and operational questions
• Troubleshoot failures and refine logic, tools, and prompts to improve reliability
• Document prompting patterns, best practices, agent architectures, and integration methods

About you

• Minimum 3 years of experience working across digital automation and generative AI projects in a professional or project capacity
• Hands-on experience building AI agents or conversational AI applications
• Experience in logistics or supply chain operations is strongly preferred, especially areas like warehouse management, network planning, or last-mile delivery
• Strong understanding of prompt engineering principles including few-shot learning, chain-of-thought reasoning, and structured output design
• Familiarity with the modern AI stack and clear understanding of LLM capabilities and limitations
• Ability to work with REST APIs, JSON, and simple scripting to integrate tools and external systems
• Ability to design and run evaluation frameworks for agent performance
• Clear, structured thinking with a problem-solving mindset
• Ability to work closely with both technical and non-technical stakeholders
• Strong communication skills and attention to detail