Senior AI Engineer (Agents)

For our client – an international FinTech & Telecom group – we are building a world-class AI capability (AI Squad) from the ground up. We create platforms, agents, and intelligent systems that will power the next generation of financial services across multiple markets.

• Minimum 5–7 years of overall software engineering experience with a proven track record of delivering production-grade systems.
• Hands-on experience building with Large Language Models (LLM), including prompt and context engineering, tool/function calling, and retrieval patterns (RAG).
• Practical experience with agentic frameworks, workflow orchestration tools, or automation platforms.
• Strong proficiency in Python and at least one additional backend language used in production services (e.g., C#, Java, Go, TypeScript).
• Hands-on experience integrating with enterprise APIs and transactional systems, including rate limiting, error handling, and retry mechanisms.
• B.Sc. in Computer Science or related field; solid background in version control (Git), testing, CI/CD pipelines, code reviews, and production monitoring.

Nice to have:

• Experience in FinTech, banking, or high-volume transactional environments.
• Relevant technical certifications in cloud platforms (AWS, Azure, GCP), software engineering, or AI.
• Master's degree in Computer Science, Data Science, or a related field.

• Design and build production-ready AI agents and automations based on prioritized enterprise use cases.
• Develop connectors, integrations, and Model Context Protocol (MCP) servers to connect agents with core enterprise APIs and transactional platforms.
• Perform agent evaluation, behavioral testing, prompt tuning, and quality assurance for autonomous execution.
• Provide production support, monitoring, and incident response for deployed agents and workflow automations.
• Work closely with the Agentic & MCP Architect and Enterprise AI Architect to implement safety guardrails, design patterns, and engineering standards.