ai engineer in fintech

Acba Bank OJSC operates in the finance, banking, and insurance industry.

• Design and implement enterprise-grade AI agents for reasoning, planning, decision-making, and autonomous task execution;
• Develop multi-agent systems with collaboration, information exchange, task delegation, and output validation;
• 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;
• At least 1 year 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;
• Strong Python skills 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;
• Nice to have: Experience with Google Agent Development Kit (ADK), Agent Engine, and Google Cloud Agentic AI architecture; Google Cloud certifications such as Cloud Digital Leader, Generative AI Leader, or Cloud Developer; experience with UiPath; knowledge of Model Context Protocol (MCP) and tool orchestration concepts; experience deploying AI solutions in regulated industries such as banking, finance, or insurance; understanding of Responsible AI principles, model governance, and AI risk management.

• No conditions specified