Midlevel Developer FullStack Java/Angular

New
J
JobgetherSecurity & IT
BrazilFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
JavaAngularCI/CDRESTful APIsMicroservicesPrompt EngineeringGenerative AI

Requirements

  • Professional experience as a Full-Stack Developer with solid Java and Angular experience.
  • Practical knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with prompt engineering and optimizing prompts for AI-powered applications.
  • Knowledge of Retrieval-Augmented Generation (RAG) concepts and architectures.
  • Knowledge of MCP (Model Context Protocol) and its application to AI integrations.
  • Understanding of agentic workflows, AI agents, orchestration, memory, and tool/function calling.
  • Knowledge of microservices architecture and REST API development and consumption.
  • Familiarity with RAG components such as embeddings, semantic or hybrid search, reranking, vector databases, and evaluation methods.
  • Understanding of LLMOps practices, including observability, governance, security, evaluation metrics, and model optimization.
  • Experience with Git, CI/CD pipelines, and automated testing.

Responsibilities

  • Develop and evolve full-stack applications using Java on the backend and Angular on the frontend.
  • Build Generative AI solutions, including intelligent agents, informational agents, and AI-powered assistants.
  • Develop and optimize prompts to improve the effectiveness and reliability of interactions with AI agents.
  • Implement RAG architectures, including chunking, embeddings, semantic and hybrid search, reranking, vector databases, and evaluation processes.
  • Design and implement agentic workflows, orchestration, memory, tool/function calling, and integrations using MCP (Model Context Protocol).
  • Integrate applications with Generative AI and LLM APIs, including OpenAI, Anthropic, Gemini, and Azure OpenAI.
  • Develop and consume REST APIs within scalable microservices architectures.
  • Implement observability, governance, security, evaluation metrics, CI/CD practices, automated testing, and Git-based development workflows.
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