Jobgether Opportunities

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Especialista em IA e Orquestração de Agentes based in Brazil. This is an opportunity to design and implement intelligent AI solutions centered on agents, LLMs, and automated workflows. You will work across the full lifecycle, from data ingestion and retrieval to deployment, monitoring, and continuous improvement. The role combines hands-on backend development with advanced AI engineering and workflow orchestration. You will build scalable solutions using agent frameworks, RAG architectures, vector databases, APIs, and cloud services. The environment encourages end-to-end ownership, technical experimentation, and the practical application of emerging AI capabilities. You will also contribute to reliable production architectures through observability, CI/CD, containerization, and cloud-native practices. This role is suited to someone who enjoys turning complex AI concepts into robust, production-ready solutions.

Develop applied AI solutions involving intelligent agents, LLM-based systems, and workflow orchestration. Build backend services and AI pipelines covering ingestion, vectorization, querying, retrieval, and response generation. Design and implement agent and workflow architectures using technologies such as LangChain, LangGraph, CrewAI, and n8n. Build and optimize RAG architectures, including chunking, embeddings, re-ranking, and context-window optimization. Integrate AI models and services through prompt engineering, tool calling, function calling, and specialized APIs. Connect AI solutions with external systems through REST APIs, webhooks, and structured databases such as SQL. Deploy, monitor, scale, and maintain AI solutions in Microsoft Azure environments, including Azure OpenAI, Functions, App Services, AI Search, and Storage/Data Lake. Apply software engineering best practices across architecture, development, testing, deployment, observability, and continuous improvement. Use Docker and CI/CD pipelines such as GitHub Actions to support reliable and repeatable software delivery. Take end-to-end ownership of AI solutions, from technical design through production implementation and ongoing optimization. Requirements Proven experience developing applied AI solutions, particularly AI agents, LLM-based applications, and intelligent workflow orchestration. Strong proficiency in Python or Node.js for backend development and AI pipeline implementation. Hands-on experience with agent and orchestration frameworks such as LangChain, LangGraph, CrewAI, and n8n. Solid knowledge of RAG architectures, including chunking, embeddings, re-ranking, and context-window optimization. Experience working with vector databases or search technologies such as Pinecone, Weaviate, Chroma, or Azure AI Search. Familiarity with AI providers and models including OpenAI, Azure OpenAI, and open-source models such as LLaMA and Mistral through Ollama. Advanced prompt engineering skills and practical experience with tool calling and function calling. Experience integrating systems through REST APIs and webhooks, as well as working with structured databases such as SQL. Experience deploying and operating AI solutions in Microsoft Azure, including cloud monitoring, observability, and scalability. Knowledge of Docker and CI/CD practices, particularly with GitHub Actions. Strong software architecture knowledge and the ability to work independently across the complete development lifecycle. Ability to approach complex technical challenges analytically and translate AI capabilities into reliable, scalable solutions. Strong collaboration, communication, ownership, and problem-solving skills. Benefits 100% remote work model, enabling professionals to work from anywhere in Brazil. Legal-person (PJ) engagement model. Opportunity to work on applied Artificial Intelligence, LLMs, intelligent agents, RAG, and workflow orchestration. Exposure to modern cloud technologies and Microsoft Azure AI services. Collaborative and technology-focused environment with opportunities to work on innovative digital solutions. Culture focused on collaboration, respect, diversity, equity, and inclusion. Opportunity to develop expertise across the full AI engineering lifecycle, from architecture and development to deployment and observability. Professional environment that values technological innovation and continuous development.