Metova

Metova

Metova specializes in developing mobile applications and digital solutions, leveraging an agile process to enhance design, usability, and marketing strategies while providing expert consultancy to drive digital transformation for startups and enterpris...

Internet Software & Services
51-250
Founded 2006

Description

  • Define, design, and supervise the technical architecture of solutions based on intelligent agents and LLMs.
  • Integrate agent frameworks such as LangChain, LlamaIndex, AutoGen, and CrewAI into business solutions.
  • Implement MCP and A2A architectures to enable multi-agent coordination and autonomous workflows.
  • Work with the MLOps team on continuous agent deployment, updating, and execution environments.
  • Manage memory, context, and long-term planning for agent-based systems.
  • Collaborate with product, UX, data, and backend teams to translate business needs into agent architectures.
  • Support the integration of tools and protocols needed for autonomous agents and co-pilots.

Requirements

  • 5 years of experience in artificial intelligence projects.
  • 2 years of experience implementing autonomous agents or co-pilots.
  • Fluent technical English.
  • Experience working with business data in accounting, finance, payroll, billing, or ERP domains.
  • Experience with vector stores such as Chroma, Weaviate, or Pinecone.
  • Experience with RAG architectures.
  • Hands-on knowledge of LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, or similar frameworks.
  • Practical knowledge of MCP and A2A protocols, including tools, memory management, and conversation state.
  • Strong command of Python and experience with FastAPI, asyncio, Pydantic, and asynchronous architectures.
  • Knowledge of MLOps practices including CI/CD, Docker, Kubernetes, agent monitoring, and automated retraining.
  • Experience with Golang, Java, or C#/.NET for high-performance components is a plus.

Interested in this position?

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