Agentic AI Engineer

Acba Bank OJSC

Yerevan · On-siteSalary not disclosedfull-timeVerified recentlyStaff.am

We are looking for an Agentic Automation Engineer to design, develop, and scale intelligent AI agents that automate complex business processes across the organization. This role combines expertise in AI, software engineering, and automation to build production-ready agentic solutions using Google Cloud AI technologies, modern LLM frameworks, and enterprise automation platforms.

Responsibilities

Design and implement enterprise-grade AI agents capable of reasoning, planning, decision-making, and autonomous task execution.
Develop multi-agent systems where specialized agents collaborate, exchange information, delegate tasks, and validate each other’s outputs.
Build scalable agent architectures using Agent Development Kit (ADK), Google Cloud Vertex AI, Gemini models, Agent Engine, and related Google AI services.
Integrate AI agents with enterprise applications, APIs, databases, RPA platforms, and internal business systems.
Design Retrieval-Augmented Generation (RAG) solutions using vector databases, semantic search, embeddings, and knowledge repositories.
Implement context management strategies including conversational memory, long-term memory, retrieval mechanisms, and context optimization.
Develop secure agent workflows with authentication, authorization, encryption, audit logging, and enterprise governance controls.
Build tool integrations using REST APIs, MCP-compatible tools, databases, messaging platforms, and external services.
Develop Python-based services, utilities, and integrations supporting AI agent capabilities.
Monitor, evaluate, and optimize AI agents for quality, latency, cost efficiency, reliability, and business impact.

Languages

Work format: On-site
Seniority: Mid
Posted: 7 Aug 2026 (3w ago)
Last verified: 27 Aug 2026
Apply by: 6 Sept 2026

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Responsibilities

Design and implement enterprise-grade AI agents capable of reasoning, planning, decision-making, and autonomous task execution.

Develop multi-agent systems where specialized agents collaborate, exchange information, delegate tasks, and validate each other’s outputs.

Build scalable agent architectures using Agent Development Kit (ADK), Google Cloud Vertex AI, Gemini models, Agent Engine, and related Google AI services.

Integrate AI agents with enterprise applications, APIs, databases, RPA platforms, and internal business systems.

Design Retrieval-Augmented Generation (RAG) solutions using vector databases, semantic search, embeddings, and knowledge repositories.

Implement context management strategies including conversational memory, long-term memory, retrieval mechanisms, and context optimization.

Develop secure agent workflows with authentication, authorization, encryption, audit logging, and enterprise governance controls.

Build tool integrations using REST APIs, MCP-compatible tools, databases, messaging platforms, and external services.

Develop Python-based services, utilities, and integrations supporting AI agent capabilities.

Monitor, evaluate, and optimize AI agents for quality, latency, cost efficiency, reliability, and business impact.