Lead Developer| Java + AI

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.

• 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.

• 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 Dev Ops, CI/CD, security, and quality standards.

• 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.

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

• 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

• 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

• Sage
• Java Script
• Cloud-native application development
• CI/CD pipelines
• Conta…