Lead Developer, Java and AI

Infosys — Germany · Posted ~4 hours ago

Lead Full-time Onsite Visa History ✓

Skills

Java Spring Boot REST APIs Generative AI LLMs RAG Enterprise application development AI solution development Production deployment Technical leadership LLM

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Summary ✨ AI‑Generated

An experienced Lead Developer is sought to combine deep Java expertise with practical generative AI development. You will design, build, and deploy enterprise applications using Java, Spring Boot, REST APIs, LLMs, and RAG, while providing hands-on technical leadership and delivering production-ready AI solutions.

Highlights

Hands-on technical leadership opportunity combining enterprise Java development with generative AI. The role offers the chance to design and deploy enterprise-scale applications and implement production-grade LLM and conversational AI solutions.

Description

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 BootREST API Design & DevelopmentMicroservices ArchitectureJ2EEMavenGit / GitLab AI & Generative AI Hands-on experience developing AI-powered applications and LLM chatbot solutionsStrong understanding of Large Language Models (LLMs)Prompt Engineering techniquesTransformer architecture fundamentalsToken limits and context window managementFine-tuning vs. In-Context Learning approachesRetrieval-Augmented Generation (RAG)RAG pipeline design and implementationQuery optimization for retrieval systemsContext ranking and relevance scoring LLM Platforms & Integrations OpenAI APIs (GPT Models, Embeddings)Anthropic Claude APIsGoogle Vertex AI / GeminiAI model integration within enterprise applicationsConversational AI architecture and chatbot implementationModel Selection & EvaluationModel benchmarking and evaluationSelecting appropriate models based on business use casesCost vs. performance optimizationAI response quality assessment and tuning Secondary / Preferred Skills SageJavaScriptCloud-native application developmentCI/CD pipelinesContainerization technologies (Docker/Kubernetes)Enterprise integration patternsAgile/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 skillsA high degree of initiative, flexibility and adaptabilityHigh customer orientationGood team engaging skillsQuality awarenessGood verbal and written communication skillsTransparency 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