AI Engineer / AI Agent Developer

Zelh is a fast-growing, passionate outsourcing company. Our mission is to be the most reliable logistics and IT provider in the industry by offering and maintaining consistently high-quality services. We are looking for a hands-on AI Engineer / AI Agent Developer with a strong software engineering background and practical experience designing, developing, and deploying AI-powered solutions. In this role, you will be responsible for building intelligent AI agents and automation systems from the ground up, integrating them into existing business environments, and transforming business requirements into practical, scalable AI solutions. The ideal candidate is not just familiar with AI tools but has the technical ability to build functional AI agents, connect them with external systems and APIs, implement autonomous workflows, and take solutions from initial concept to production. Responsibilities and Duties: - Design, develop, and implement custom AI agents tailored to specific business needs and operational requirements. - Build AI-powered applications and autonomous agent-based systems from scratch, taking ownership of the entire development lifecycle. - Design and develop intelligent workflows that allow AI agents to perform tasks, process information, interact with external tools, and make decisions based on defined objectives. - Integrate Large Language Models (LLMs) and generative AI technologies into business applications and existing operational workflows. - Work with LLM APIs and providers such as OpenAI, Anthropic, and other relevant AI platforms. - Develop agent capabilities, including tool calling, function calling, context management, memory, and multi-step task execution. - Build and maintain AI-driven automation solutions to reduce manual work, streamline business processes, and improve operational efficiency. - Integrate AI agents with existing business systems, databases, third-party platforms, and internal tools through APIs and custom integrations. - Develop backend services and supporting infrastructure required to run AI-powered applications and agent workflows. - Implement Retrieval-Augmented Generation (RAG) solutions and knowledge retrieval systems where required. - Design and implement single-agent and multi-agent architectures depending on project requirements. - Test, evaluate, debug, and optimize AI agents to improve accuracy, reliability, performance, and cost efficiency. - Implement appropriate validation mechanisms, error handling, guardrails, and monitoring to ensure reliable AI outputs and controlled execution. - Collaborate with business stakeholders and technical teams to identify automation opportunities, understand business challenges, and translate them into technical solutions. - Take ownership of AI projects from discovery and technical design through development, deployment, documentation, and continuous improvement. - Maintain technical documentation and provide recommendations on AI architecture, technologies, and implementation approaches.