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Agentic AI Engineer/AI Agents Backend Developer – Hermes First
Job description
Ideal Candidate
The ideal candidate has solid software development/backend experience, good knowledge of Python, and experience with APIs, databases, tool/function calling, and architectures for connecting agents to tools and data, such as MCP or similar solutions.
It is essential to have effectively built end-to-end multi-agent systems, where agents communicate with each other, use real tools and data sources, and execute actions. The candidate must understand state, memory, and context management, as well as concepts like RAG, embeddings, and vector databases.
We are looking for someone capable of building robust systems, using logging, retries, error handling, observability, and guardrails. Experience with Hermes is a major advantage; alternatively, serious experience with other agent orchestration frameworks or architectures and the ability to quickly adapt to a Hermes-first ecosystem is required.
We particularly appreciate experience with multi-agent systems in production, vector databases, Redis, queues, event-driven architectures, Docker, cloud infrastructure, CRM/ERP integrations, and AI evals.
More than the number of years of experience, we are interested in what you have actually built. We are looking for a technical, curious, autonomous, and construction-oriented engineer who can concretely present AI projects and agentic systems developed end-to-end.
Job Description
Responsibilities
Creation and development of specialized AI agents for various company functions;
Orchestration of multi-agent systems, where agents communicate with each other, use tools, and execute actions;
Working within a Hermes-first architecture;
Connecting agents to APIs, databases, CRM/ERP, and other internal or external systems;
Building workflows where agents receive information, make decisions, call tools, and execute processes;
Working with memory, state, permissions, retries, logging, observability, and guardrails;
Integrating knowledge sources through RAG, embeddings, and vector databases, when the architecture requires it;
Contributing to the development of an AI-first infrastructure, not just point-in-time integration of LLMs.
About the role
Real experience with the development and orchestration of AI agents is essential. Direct experience with Hermes is a major advantage. If you haven't worked directly with Hermes, it is important to have serious experience with other agent orchestration frameworks or architectures and the ability to quickly enter a Hermes ecosystem.
We are less interested in the number of years of experience and more in what you have actually built. We are looking for a highly technical, autonomous, curious, and construction-oriented person.
What we offer:
- Permanent individual employment contract;
- Market-level salary + meal tickets worth 40 RON/working day + bonuses;
- Working hours Mon-Fri: 8:30 AM - 5:30 PM, with a 1-hour lunch break included;
- We provide transport from Carrefour Pantelimon and the Republica metro station.
Company Description
Global Plast was founded in 2003, operates nationally and regionally through 6 warehouses with a total area of over 15,000 sqm, a team of over 200 employees, and has a portfolio of approximately 3000 items. Among these are our own brands Zorex, Alabala, and Papelino, popularized on our website Gospodar.Shop.
In 2021, it recorded a turnover of 26 million euros, an increase compared to the previous year, a figure achieved together with over 4000 clients (including all hypermarket and supermarket chains present in Romania).
Since 2003, we have also developed our export activity, with our products already recognized in over 20 European countries.
Required skills
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Company information
- Company
- SC Global Plast SRL
- Location
-
Bucuresti, Ilfov
Romania - Posted
- 4 days ago
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