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Protocol Intelligence
Data-driven signals on your job's competitivenessLarge consulting employer plus popular junior software title, but niche Generative AI focus reduces applicant density.
Java backend and LLM integration skills are moderately transferable across industries.
Moderate technical filters: Java, Spring Boot, LLM integration expected despite no explicit years requirement.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable Java-based applications, microservices, and APIs integrating AI functionalities including Large Language Models (LLMs) and Generative AI.
Support design and implementation of AI agent workflows, Retrieval Augmented Generation (RAG) solutions, and automation using modern AI frameworks and orchestration tools.
Assist in deployment, monitoring, and performance optimization of AI-powered applications on cloud platforms using containerization and CI/CD pipelines.
Minimum Requirements
Proficiency in Java, Spring Boot, RESTful API development, and related frameworks is required.
Experience or exposure to integrating Generative AI services, Large Language Models (LLMs), and AI engineering practices is necessary.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with cloud platforms, containerized environments, and microservices architecture is expected.
Ideal Candidate Profile
Early career professionals or apprentices aiming to build expertise in AI-powered Java enterprise application development.
Individuals comfortable collaborating with senior engineers on AI integration, prompt engineering, and cutting-edge AI technologies.
Candidates interested in hands-on learning within a team-oriented, cloud-native software engineering and AI environment.