AI Engineer
Posted 13 Oct 2026
Advertised as “Senior AI Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 3–8 yrs
- Management level
- People management
- Employment
- Hybrid
No salary listed for this role.
CertificationsProfessional Machine Learning Engineer, Cloud Architect, CSM, PRINCE2
Field of studyComputer Science, Information Technology, Software Engineering (or related)
Study levelBachelor's or higher
Your IT Future, Delivered
Senior AI Engineer
With a global team of 6000+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. Our offices in Cyberjaya, Prague, and Chennai have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences.
Digitalization. Simply delivered.
At IT Services, we are passionate about technology. Our Customer Service Booking Service team is expanding to pioneer next-generation conversational experiences, voice/chat automation, and intelligent agent workflows across our global logistics ecosystem. As a Senior Software Engineer (Senior AI Engineer), you will architect, build, and deploy production-grade Conversational AI and agentic systems integrated with mission-critical customer service platforms.
#DHL #DHLITServices #GreatPlace #ConversationalAI #PromptEngineering #AIEngineering
Grow together
You will join an engineering team focused on accelerating enterprise delivery and transforming customer interactions through AI. In this role, you will take technical ownership across all phases of the software lifecycle—from conversational flow architecture and prompt design to backend integration, continuous automated testing, and CI/CD deployment.
Key responsibilities include:
- Conversational AI & Agent Architecture: Design, implement, and maintain conversational applications, interactive voice/chat pipelines, and autonomous agent workflows utilizing platforms such as Happyrobot, Cognigy, Google Cloud Conversational AI / Dialogflow / Vertex AI Agents, or modern Agent Development Kits (ADK).
- Advanced Prompt Engineering & LLM Orchestration: Develop, evaluate, and optimize system prompts, few-shot prompting strategies, tool-calling chains, and dynamic retrieval patterns (RAG) to ensure accurate, context-aware, and low-latency agent execution.
- Enterprise Integration & Backend Development: Engineer robust, reusable microservices and integration middleware in Java (Spring Boot) and/or Python to link conversational layers seamlessly with core Booking Service APIs, messaging buses, and ERP backends.