Jr. Agentic AI Engineer 2

Deutsche Telekom Digital Labs is looking for a highly motivated Agentic AI Engineer2 to design and build intelligent AI-powered applications using modern Java/Kotlin technologies. The ideal candidate will have hands-on experience in developing scalable backend systems and implementing Agentic AI solutions that leverage LLMs, autonomous agents, orchestration frameworks, and enterprise-grade AI architectures. You will work with cross-functional teams to build next-generation AI products that automate workflows, enhance customer experiences, and enable intelligent decision-making across enterprise platforms.

Responsibilities:

• Design and develop enterprise-grade Agentic AI applications using Java and/or Kotlin.
• Build AI agents capable of reasoning, planning, tool usage, and autonomous task execution.
• Integrate Large Language Models (LLMs) with enterprise applications and APIs.
• Develop scalable microservices and backend services supporting AI-driven workflows.
• Implement orchestration pipelines for multi-agent systems and AI workflows.
• Build secure RESTful APIs for AI services and enterprise integrations.
• Optimize AI applications for latency, scalability, reliability, and cost efficiency.
• Collaborate with product managers, data scientists, and platform engineers to deliver AI-powered solutions.
• Participate in architecture discussions, code reviews, and technical design sessions.
• Stay updated with the latest advancements in generative AI, agentic AI, and enterprise AI ecosystems.

Requirements:

• 1.6-3 years of software development experience.
• Strong proficiency in Java.
• Hands-on experience with Kotlin.
• Practical experience in agentic AI development.
• Experience integrating Large Language Models (LLMs) into enterprise applications.
• Strong understanding of REST APIs and microservices architecture.
• Experience with Spring Boot and backend application development.
• Knowledge of AI agent orchestration concepts, tool calling, memory, and planning.
• Strong understanding of object-oriented programming (OOP) and design patterns.
• Experience with Git and modern software development practices.

Good to Have:

• Experience with LangGraph, LangChain4j, Spring AI, or similar Agentic AI frameworks.
• Knowledge of Retrieval-Augmented Generation (RAG).
• Experience with vector databases.
• Exposure to Kubernetes and Docker.
• Experience with AWS or GCP cloud platforms.
• Familiarity with CI/CD pipelines.
• Understanding of prompt engineering and AI evaluation techniques.
• Knowledge of event-driven architectures (Kafka, RabbitMQ, etc. ).

Preferred Qualifications:

• A bachelor's or master's degree in computer science, information technology, or a related field.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Passion for building innovative AI-driven enterprise solutions.