AI Agent Specialist

About the Role

We are hiring an AI AgentSpecialist 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

AI Agent Development

• Design, develop, andoptimizeAI 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.

• Useworkflowbuilders, tools, and functions to modellogisticsprocesses such as booking, quoting, track & trace, documentation, and customer inquiries.

Prompt Engineering

• Apply advanced prompt engineering principles, including few-shot prompting, structured outputs, and controlled reasoning.

• Develop reusable prompting patterns and system templates for consistency across agents.

• Maintain a prompt library and ensure alignment with internal standards.

QA test

• Conductteststo evaluate agent performance,identifyareas 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.

Collaboration

• Work with product and engineering teams to prototype and iterate on AI-powered features.

• Collaborate withcross-functionalteams to understand real workflows and business needs andtranslate them intonew agentic AI use cases.

• Support onboarding, rollout, and continuous improvement of agents.

Documentation and Knowledge Sharing

• Document prompting patterns, best practices, agent architectures, and integration methods.

• Maintain version control for prompt updates, workflows, and tool integrations.

• Share insights with the wider team to raise the overall AI capability across the company.

Requirements

Experience

• Minimum5years of experience working across digital automation andgenerativeAI projects in a professional or project capacity.

• Hands-on experience building AI agents or conversational AI applications.

• Experience inlogisticsor supply chain operations is strongly preferred, especially areas like warehouse management, network planning, or last-mile delivery.

Technical Skills

• Strong understanding of prompt engineering principles including few-shot learning, chain-of-thought reasoning (implicit), 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.

Soft Skills

• Clear, structured thinking with a problem-solving mindset.

• Eagernessand motivation to keep up withnew trendsin AI and be at the frontier ofnew technologiesand AI-driven opportunities

• Ability to work closely with both technical and non-technical stakeholders.

• High accountability and comfort iterating quickly.

• Strong communicationskills and attention to detail. Show full description