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AI Engineer

Job not on LinkedIn

🕒 June 25

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Metova, Inc.'s careers page, not through a job board

First seen by Remote Rocketship June 25

Logo of Metova, Inc.

Metova, Inc.

201 - 500 employees

Founded 2006

💼 Consulting

📣 Marketing

📦 Logistics

💰 Private Equity Round on 2018-04

Consulting • Marketing • Logistics

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 is a plus • Experience working with vector stores and RAG architectures • Handling frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar • Solid command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures • Experience leading collaboration and technical discussions across product, UX, data, and backend teams

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