
Java Engineer, AI Enabled – Java 21, Spring Boot, LangChain4j
Posted Aug 5

Posted Aug 5
This is a fully remote position, open to applicants in Portugal.
• Create and implement scalable microservices and AI-driven applications utilizing Java 17/21, Spring Boot, and contemporary AI orchestration frameworks.
• Incorporate Large Language Models into corporate applications via robust REST APIs.
• Guarantee the reliability, security, observability, and maintainability of AI-driven systems.
• Design autonomous AI agents capable of multi-step reasoning, tool orchestration, and memory management.
• Build AI-enhanced backend services, autonomous AI agents, and LLM integrations.
• Work collaboratively with product managers, frontend developers, data teams, and backend engineers in cross-functional Agile teams.
• Provide high-quality AI-powered solutions for enterprise retail technology.
• At least 7 years of professional experience in software engineering.
• Extensive experience in developing backend applications with Java 17 or Java 21.
• Strong background in Spring Boot and microservices architecture.
• Practical experience in designing and implementing Agentic AI solutions.
• Familiarity with Spring AI or LangChain4j for AI orchestration.
• Hands-on experience integrating Large Language Models (LLMs) into enterprise applications.
• Proficiency in consuming and developing RESTful APIs.
• In-depth knowledge of Prompt Engineering, prompt optimization, and prompt lifecycle management.
• Experience in implementing reliable AI systems, including observability, guardrails, rate limiting, fallback strategies, and secure integrations.
• Excellent communication and collaboration skills in cross-functional Agile teams.
• Bachelor's degree in Computer Science, Software Engineering, or a related discipline.
• Proficient in English at a B2 (Upper Intermediate) level or above.
• Experience integrating Azure Copilot or other commercial AI platforms is a plus.
• Understanding of AI memory management and multi-agent architectures is preferred.
• Experience with technical, API, and architecture documentation is advantageous.
• Background in enterprise-scale or retail technology environments is beneficial.
• Familiarity with AI governance, security, and responsible AI best practices is desirable.
• Experience working alongside mobile application development teams is preferred.
• 15th month salary.
• Health insurance that covers your family.
• Day off for your birthday.
• Mobility program for digital nomads.
• Genuine work-life balance.
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