Metova, Inc.
201 - 500 employees
Founded 2006
🛍️ eCommerce
💳 Fintech
☁️ SaaS
💰 Private Equity Round on 2018-04
eCommerce • Fintech • SaaS
Metova is a digital consulting and delivery services firm that partners with enterprises and startups to provide end-to-end digital solutions. Their offerings include strategic planning, custom software development, UX/UI design, and quality assurance, all aimed at enhancing digital transformation and supporting the entire product lifecycle. By focusing on customer-centric and innovative solutions, Metova ensures that brands can effectively leverage technology to meet market demands and drive growth.
AI Engineer
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Metova, Inc.
201 - 500 employees
Founded 2006
🛍️ eCommerce
💳 Fintech
☁️ SaaS
💰 Private Equity Round on 2018-04
eCommerce • Fintech • SaaS
Metova is a digital consulting and delivery services firm that partners with enterprises and startups to provide end-to-end digital solutions. Their offerings include strategic planning, custom software development, UX/UI design, and quality assurance, all aimed at enhancing digital transformation and supporting the entire product lifecycle. By focusing on customer-centric and innovative solutions, Metova ensures that brands can effectively leverage technology to meet market demands and drive growth.
📋 Description
• Define, design, and supervise the technical architecture of solutions based on intelligent agents and LLMs, integrating tools such as LangChain, LlamaIndex, AutoGen, CrewAI, or equivalent frameworks. • Implement MCP (Model Context Protocol) and A2A (Agent-to-Agent) architectures to enable multi-agent coordination and autonomous flows within business environments. • Work with the MLOps team and execution environments that enable continuous agent updating and deployment, including memory management, context, and long-term planning. • Collaborate closely with product, UX, data, and backend teams to map business needs to intelligent agent architectures.
🎯 Requirements
• 5 years of experience in artificial intelligence projects and 2 years in the implementation of autonomous agents or co-pilots. • Fluent technical English. • Experience working with business data in domains such as accounting, finance, payroll, billing, or ERP. • Experience working with vector stores (Chroma, Weaviate, Pinecone) and RAG architectures. • Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar. • Practical knowledge of MCP and A2A protocols, use of tools, memory management, and conversation status. • Solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures. • Knowledge of MLOps: CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining. • Practical knowledge of other languages such as Golang, Java, or C# (.NET), especially in building high-performance components (Nice to Have).
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