Software Engineer- AI Integration

Position: Software Engineer (AI Integration)

Location: Remote/Work From Home in Brazil Employment Type: CLT Monthly Salary Range: 10-22k Reais/month Requirements: -Working knowledge of Java (21+) and Spring Boot (REST APIs, Spring Data JPA, Spring Security) -Experience with Oracle Database: SQL, joins, indexing, stored procedures, and JPA/Hibernate mapping -Strong understanding of RESTful API design and documentation (OpenAPI/Swagger) -Solid Python proficiency (async/await, type hints, virtual environments, packaging) -Hands-on experience with at least one LLM orchestration framework (LangChain, LangGraph, LlamaIndex, or equivalent) -Experience consuming LLM APIs and applying prompt engineering best practices -Exposure to agentic AI concepts: tool-calling, function calling, ReAct patterns, RAG, vector stores -Familiarity with FastAPI or similar frameworks for serving AI pipelines Nice to have skills and experience: -Experience with LangGraph specifically (stateful multi-agent graphs, conditional routing, checkpointing) -Exposure to enterprise integrations: ServiceNow, LDAP/AD, Microsoft Graph API, JIRA, or similar -Familiarity with observability tools: logging, tracing (LangSmith, OpenTelemetry), and metrics -Experience with prompt testing frameworks or evals for LLM quality assurance About the Role We're looking for a Full Stack Engineer with a strong foundation across front-end, back-end, and AI/ML technologies to join a forward-thinking engineering team. In this role, you'll build and maintain web applications powered by modern frameworks while integrating cutting-edge AI capabilities — including Large Language Models (LLMs) and agentic AI patterns — into real-world business workflows. If you enjoy working across the entire stack and are excited about bringing AI from prototype to production, this is the role for you What You'll Do Build & maintain front-end interfaces using Angular (or equivalent component-based frameworks), delivering clean and responsive user experiences. Develop back-end services in Java 21+ and Spring Boot, including REST APIs, data persistence with Spring Data JPA, and foundational security with Spring Security Design and manage database interactions with Oracle Database — writing optimized SQL, managing joins, indexing, stored procedures, and JPA/Hibernate entity mappings. Architect and document RESTful APIs following best practices, with clear documentation via OpenAPI/Swagger. Build and deploy AI/ML pipelines in Python, leveraging LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, or similar) and serving them through FastAPI or equivalent frameworks. Integrate LLM APIs (OpenAI, Azure OpenAI, Anthropic, Cohere, etc.) into applications using prompt engineering best practices. Implement agentic AI patterns including tool-calling, function calling, ReAct workflows, Retrieval-Augmented Generation (RAG), and vector store integrations. Translate ambiguous business problems into clear technical requirements by interpreting SOPs, process documents, and workflow diagrams. Collaborate cross-functionally in an Agile team environment, communicating technical concepts clearly to non-technical stakeholders