Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
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)
- 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
Key Skills
Ranked by relevanceReady to apply?
Join Metova and take your career to the next level!
Application takes less than 5 minutes