Software Engineer - Java + AI

Deutsche Telekom Digital Labs; Gurugram District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Deutsche Telekom Digital Labs in India is seeking a Software Engineer with strong Java development skills and exposure to AI-powered applications. You will design, build, and maintain scalable backend services and contribute to AI-driven features for enterprise products.

You will work with Spring Boot, RESTful APIs, and microservices, collaborating with cross-functional teams. A solid foundation in backend engineering, problem solving, and a willingness to learn AI technologies are essential.

Qualifications

• 1.5-3 years of hands-on experience in Java development.
• Strong knowledge of Java 8/11/17 and Spring Boot.
• Experience with REST APIs and microservices architecture.
• Good understanding of SQL/NoSQL databases.
• Familiarity with Git and CI/CD practices.
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Basic understanding or hands-on experience with AI/ML concepts, generative AI, LLMs, or AI APIs.
• Strong problem-solving and analytical skills.
• Strong foundation in backend engineering.
• Curiosity and willingness to learn AI technologies.
• Excellent communication and collaboration skills.
• Ownership mindset with attention to code quality and performance.

Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and enhance RESTful APIs and microservices.
• Collaborate with cross-functional teams to design and implement AI-enabled product features.
• Integrate LLMs, AI APIs, or ML services into enterprise applications.
• Optimise application performance, scalability, and reliability.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Participate in code reviews, debugging, and production support.
• Stay updated with emerging AI technologies and software engineering best practices.

Skills

Java development

Spring Boot

REST APIs

Backend engineering

SQL/NoSQL databases

Git & CI/CD practices

Cloud platforms (AWS/Azure/GCP)

AI/ML concepts exposure

Tools

Docker

Kubernetes

Kafka

RabbitMQ

Agile/Scrum

Job description

We are looking for a Software Engineer with strong Java development skills and exposure to AI-powered applications. You will be responsible for building scalable backend services while contributing to the development and integration of AI-driven features into enterprise products. This role is ideal for engineers who enjoy backend development and are eager to work with modern AI technologies in real-world applications.

Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and enhance RESTful APIs and microservices.
• Collaborate with cross-functional teams to design and implement AI-enabled product features.
• Integrate LLMs, AI APIs, or ML services into enterprise applications.
• Optimise application performance, scalability, and reliability.
• Write clean, maintainable, and well-tested code following engineering best practices.
• Participate in code reviews, debugging, and production support.
• Stay updated with emerging AI technologies and software engineering best practices.

Requirements

• 1.5-3 years of hands-on experience in Java development.
• Strong knowledge of Java 8/11/17 and Spring Boot.
• Experience with REST APIs and microservices architecture.
• Good understanding of SQL/NoSQL databases.
• Familiarity with Git and CI/CD practices.
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Basic understanding or hands-on experience with AI/ML concepts, generative AI, LLMs, or AI APIs.
• Strong problem-solving and analytical skills.
• Strong foundation in backend engineering.
• Curiosity and willingness to learn AI technologies.
• Excellent communication and collaboration skills.
• Ownership mindset with attention to code quality and performance.

Good to Have

• Experience with vector databases or RAG-based applications.
• Exposure to prompt engineering or AI orchestration frameworks.
• Knowledge of Docker and Kubernetes.
• Experience with messaging systems such as Kafka or RabbitMQ.
• Familiarity with Agile/Scrum development practices.