Lead Developer| Java + AI| Germany

Infosys; Bad Homburg vor der Höhe; Vor Ort; EUR 120.000 - 170.000; Vollzeit

Zusammenfassung

Infosys seeks an experienced Lead Developer- Java and AI to architect and deliver enterprise-scale AI-powered Java applications. You will design, implement, and deploy REST APIs, microservices, and GenAI solutions, driving AI initiatives across the stack.

The role requires hands-on coding, architecture reviews, and mentoring teams while aligning with business goals and DevOps practices.

Aufgaben

• Lead the AI and Generative AI development, designing enterprise-grade solutions.
• Develop and integrate LLM-based chatbot capabilities and RAG pipelines.
• Guide Java backend development, microservices, and REST APIs.
• Mentor teams, review code, and ensure security and quality standards.
• Collaborate with stakeholders to translate AI use cases into scalable solutions.

Jobbeschreibung

Role – Lead Developer- Java and AI

Technology – Java, Springboot, Rest APIs, LLM, RAG

Location – Bad Homberg, Germany

Role Overview

We are seeking an experienced AI & Java Lead Developer with deep expertise in Java, REST API development, Spring Boot, and Generative AI solutions. The ideal candidate will be a hands-on technical leader capable of designing, developing, and deploying enterprise-scale applications while driving AI-powered initiatives, particularly LLM-based chatbot and conversational AI solutions.

This role requires recent and substantial hands-on development experience, with the ability to contribute immediately to project deliverables. Practical experience implementing AI/LLM solutions in production environments is a mandatory requirement.

Key Responsibilities

AI & Generative AI Development

• Design, build, and deploy enterprise-grade AI-powered applications and conversational chatbot solutions.
• Develop and integrate Large Language Model (LLM) based solutions using leading AI platforms and APIs.
• Design and implement Retrieval-Augmented Generation (RAG) architectures for knowledge-intensive applications.
• Develop prompt engineering frameworks and optimize prompts for accuracy, efficiency, and business outcomes.
• Evaluate and select appropriate AI models based on business requirements, performance, scalability, and cost considerations.
• Implement LLM evaluation frameworks, model monitoring, and response quality improvements.
• Manage token usage, context windows, and conversation memory strategies for optimal application performance.
• Collaborate with business and technical stakeholders to identify AI use cases and translate them into scalable solutions.

Java & Backend Development

• Lead the design and development of microservices and enterprise applications using Java and Spring Boot.
• Develop scalable REST APIs and backend services following industry best practices.
• Design secure, high-performance, and maintainable application architectures.
• Review code, enforce coding standards, and mentor development teams.
• Participate in architecture reviews, technical design discussions, and solution governance.
• Drive performance tuning, troubleshooting, and optimization of applications.
• Ensure adherence to DevOps, CI/CD, security, and quality standards.

Technical Leadership

• Provide technical leadership and guidance to development teams.
• Conduct design reviews, code reviews, and technical mentoring.
• Collaborate with architects, product owners, and business stakeholders.
• Support estimation, planning, risk management, and delivery governance.
• Stay current with emerging AI technologies, frameworks, and industry trends.

Mandatory Technical Skills

Core Development

• Java (Java 21+ preferred)
• Spring Boot
• REST API Design & Development
• Microservices Architecture
• J2EE
• Maven
• Git / GitLab

AI & Generative AI

• Hands-on experience developing AI-powered applications and LLM chatbot solutions
• Strong understanding of Large Language Models (LLMs)
• Prompt Engineering techniques
• Transformer architecture fundamentals
• Token limits and context window management
• Fine-tuning vs. In-Context Learning approaches
• Retrieval-Augmented Generation (RAG)
• RAG pipeline design and implementation
• Query optimization for retrieval systems
• Context ranking and relevance scoring

LLM Platforms & Integrations

• OpenAI APIs (GPT Models, Embeddings)
• Anthropic Claude APIs
• Google Vertex AI / Gemini
• AI model integration within enterprise applications
• Conversational AI architecture and chatbot implementation
• Model Selection & Evaluation
• Model benchmarking and evaluation
• Selecting appropriate models based on business use cases
• Cost vs. performance optimization
• AI response quality assessment and tuning

Secondary / Preferred Skills

• Sage
• JavaScript
• Cloud-native application development
• CI/CD pipelines
• Containerization technologies (Docker/Kubernetes)
• Enterprise integration patterns
• Agile/Scrum delivery methodologies

Experience Required

• 10+ years of software development experience.
• 3+ years of hands-on experience in AI/LLM solution development.
• Strong recent experience in Java backend development and API engineering.
• Demonstrated experience delivering production-grade LLM chatbot or Generative AI solutions.
• Experience designing scalable microservices and enterprise platforms.

Personal

Qualifications

Besides the professional qualifications, we respect and place equal importance to the candidate’s personality which facilitates success in customer environments. Few traits we look for are:

• High analytical skills
• A high degree of initiative, flexibility and adaptability
• High customer orientation
• Good team engaging skills
• Quality awareness
• Good verbal and written communication skills
• Transparency and Integrity

About Infosys

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 59 countries to navigate their digital transformation.

With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI. We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem. We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer