AI Software Engineer Prompt Engineering Job DHL Full Time

AI Software Engineer Prompt Engineering Job DHL . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in  India India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below.  Also Apply All Active Superset Hiring For Freshers

About Company

DHL is a global logistics leader, known for its expertise in express delivery, freight transportation, e-commerce solutions, and supply chain management. Operating in over 220 countries and territories, DHL is part of the Deutsche Post DHL Group, headquartered in Bonn, Germany. With a workforce of over 580,000 employees, the company plays a crucial role in connecting people and businesses worldwide. DHL IT Services drives the company’s digital backbone, enabling innovation through advanced technologies like AI, data analytics, and automation.

Role Overview

As an AI Software Engineer, you’ll contribute to building AI-powered systems that improve DHL’s logistics and operational workflows. The position is part of a global team that leverages cutting-edge AI technologies to develop scalable, secure, and high-performance software solutions.

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Responsibilities

• Design and implement AI-driven applications with a focus on Natural Language Processing (NLP) and Generative AI.
• Develop and maintain backend services using Python, integrating with tools like LangChain, OpenAI APIs, and Hugging Face.
• Apply prompt engineering techniques to fine-tune large language models (LLMs) and optimize AI responses.
• Create robust and scalable AI workflows using Retrieval-Augmented Generation (RAG).
• Contribute to DevSecOps practices, including containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines (Airflow, GitHub Actions).
• Collaborate with international teams to gather requirements, test models, and ensure successful deployment in production environments.

Qualification & Skills

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Strong experience with Python and a solid understanding of backend development principles.
• Familiarity with AI/ML concepts, especially NLP, LLMs, and prompt tuning.
• Experience working with cloud platforms such as Azure or Google Cloud.
• Knowledge of version control systems like Git and exposure to microservices architecture.
• Excellent communication and problem-solving skills to work in a collaborative, agile environment.