Job Summary: We are seeking an AI Engineer with experience in building and deploying solutions based on intelligent agents, backend systems, and cognitive architectures. Key Highlights: 1. Deployment and programming of solutions with intelligent agents and LLMs. 2. Implementation of MCP and A2A architectures for multi-agent coordination. 3. Collaboration with product, UX, data, and backend teams. **Necodex is looking for a Jr AI Engineer in Hermosillo, Sonora** ------------------------------------------------------ **Role Summary** We are seeking an AI Engineer with experience in building and deploying solutions based on intelligent agents, backend systems, and cognitive architectures. This role requires knowledge of agent frameworks and protocols (LangChain, Llama, LLMs, NLP, A2A, MCP, etc.) and strong software engineering capabilities to build AI-embedded products. Ideally, candidates should have domain knowledge in finance, accounting, payroll, billing, or human resources. **Key Responsibilities** * Experience deploying and programming solutions based on intelligent agents and * LLMs, integrating tools such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent frameworks. * Implementing agents that interact with users, APIs, ERP systems, or external platforms (e.g., WhatsApp, accounting systems, CRMs). * Implementing MCP (Model Context Protocol) and A2A (Agent-to-Agent) architectures to enable multi-agent coordination and autonomous workflows within enterprise environments. * Working in production environments with direct interaction with infrastructure, DevOps, and MLOps teams. * Collaborating closely with product, UX, data, and backend teams to ensure successful delivery of planned features. * Implementing agents following sound development practices, including validation and monitoring—such as integration testing, prompt version control, and decision traceability. * Staying up to date with open-source frameworks and relevant research papers in the fields of agent frameworks, memory architectures, and multi-agent systems. **Candidate Requirements** * 2+ years of experience in artificial intelligence projects, with at least 1+ year implementing autonomous agents or copilots. * Proven experience using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar. * Practical knowledge of MCP and A2A protocols, tool usage, memory management, and conversation state handling. * Strong proficiency in Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures. * Experience working with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures. * Knowledge of NLP, embeddings, retrieval agents, and reasoning and planning functions. * MLOps knowledge: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining. * Fluent technical English for reviewing documentation, research papers, and collaborating with global teams. **Plus / Desirable (Nice to Have)** * Experience in multicloud projects (Azure, AWS, GCP). * Familiarity with event-driven and microservices architectures, as well as RESTful APIs and gRPC. * Experience working with enterprise data in domains such as accounting, finance, payroll, billing, or ERP. * Experience working in development and product teams, as well as high-performance/startup teams. * Practical knowledge of other languages such as Golang, Java, or C# (.NET), especially in building high-performance components. * Active participation in open-source agent communities or contributions to emerging frameworks. **Desired Education Level:** Bachelor’s Degree or higher **Desired Experience Level:** Mid-Level **Departmental Function:** Technology / Internet **Industry:** Software Development / Programming **Skills:** * langchain * python * fastapi * docker * AI *This job posting originates from the Talenteca.com job board:* *https://www.talenteca.com/anuncio?j_id=698a2cc93f000031002fa4af&source=indeed