Agentic AI Engineer

Acba Bank OJSC

- 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 - Create reusable agent templates, architectural patterns, shared components, and technical documentation - Collaborate with business stakeholders to identify automation opportunities and translate them into intelligent agent solutions - Mentor engineers and promote best practices in Agentic AI, LLM engineering, and intelligent automation

- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field - 1+ years of experience in software engineering, intelligent automation, or AI solution development - Hands-on experience building applications powered by Large Language Models (LLMs) - Experience with Google Cloud Platform, particularly Vertex AI and Gemini models - Experience designing AI agents, agent workflows, or multi-agent systems - Solid knowledge of Python for backend development and AI integrations - Experience with Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search - Experience integrating AI solutions with REST APIs, enterprise systems, databases, and cloud services - Understanding of prompt engineering, evaluation methodologies, context management, and memory strategies - Knowledge of authentication, OAuth, API security, and enterprise security principles - Familiarity with Git, CI/CD pipelines, Docker, and cloud-native deployment practices - Experience implementing monitoring, logging, tracing, and performance optimization for AI applications - Strong analytical and problem-solving skills - English proficiency at B2 level or higher

Apply here https://ats.hirebee.ai/en/jobs/agentic-ai-engineer/apply?source_id=staff Please mention in your application that you have learned about this position from MyJob.am