AI Engineer Mid-SR

Description

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. Development of innovative products focused on AI and data. 2. Culture of best practices, modern architecture, and collaborative work. 3. Opportunities for technical growth and continuous learning. We are looking for 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 (e.g., LangChain, Llama, LLMs, NLP, A2A, MCP, etc.) and strong software engineering capabilities to build AI-embedded products. Ideally, the candidate has domain knowledge in financial, accounting, payroll, billing, or human resources contexts. **Key Responsibilities** * Experience deploying and programming solutions based on intelligent agents and LLMs, integrating tools such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent frameworks. * Implement agents that interact with users, APIs, ERP systems, or external platforms (e.g., WhatsApp, accounting systems, CRMs). * Implement MCP (Model Context Protocol) and A2A (Agent\-to\-Agent) architectures to enable multi\-agent coordination and autonomous workflows within enterprise environments. * Work in production environments with direct interaction with infrastructure, DevOps, and MLOps teams. * Collaborate closely with product, UX, data, and backend teams to ensure successful delivery of planned features. * Implement agents using sound development practices, including validation and monitoring—covering integration testing, prompt versioning, and decision traceability. * Stay updated on open\-source frameworks and relevant research papers in the fields of agent frameworks, memory architectures, and multi\-agent systems. **Requirements** * *4\-6 years of experience in artificial intelligence projects, with at least 2\+ years 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 and conversation state management.* * *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 for building high\-performance components.* * *Active participation in open\-source agent communities or contributions to emerging frameworks.* **Benefits** * Development of innovative products focused on AI and data. * Culture of best practices, modern architecture, and collaborative work. * Opportunities for technical growth and continuous learning.