Software Engineering Manager – Agentic AI

At M&C, we are building the next generation of AI-powered solutions at the core of a strategic platform—combining generative AI, autonomous agentic workflows, event-driven architecture, and large-scale transactional systems.

We are seeking an experienced, hands-on Engineering Manager to lead and mentor the team of backend and full-stack developers. In this role, you will spearhead the migration of our legacy UiPath RPA estate to a modern agentic architecture, kicking off with large-scale airline refund processing. Beyond this core migration, you will champion prototyping and experimentation with cutting-edge GenAI and agentic technologies to automate high-impact back-office processes across the platform.

Tasks & Responsibilities :

• Drive full-stack development, agent orchestration, and industrialization of GenAI/Agentic AI capabilities.
• Ensure high code quality through reviews, clean architecture, mentoring, and Agile delivery support.
• Design human-in-the-loop validations, fallback/rollback mechanisms, and automated decision escalation paths.
• Embed audit trails, governance, and regulatory compliance directly into the system architecture.
• Partner with DevOps on CI/CD pipelines, automation, and deployment strategies.
• Continuously improve scalability, reliability, automation accuracy, and straight-through processing (STP) rates.
• Partner with Product Managers and business teams to identify and prioritize automation opportunities.
• Mentor engineers and foster a collaborative, high-performing engineering culture.

• 5+ years of software engineering experience.
• 2+ years leading engineering teams as a Team Lead or Engineering Manager.
• Hands-on experience building production-grade Agentic AI systems.
• Strong knowledge of REST APIs, modern software architecture, and full-stack design patterns.
• Proficiency in Python or Java (Next.js experience is a plus).
• Strong understanding of distributed systems, microservices, and scalable architectures.
• Experience with relational and NoSQL databases.
• Familiarity with cloud platforms (AWS, Azure, or GCP), containerization, and CI/CD.
• Experience with UiPath or other RPA platforms (and RPA-to-Agentic AI migration strategies) as a strong advantage.
• Understanding compliance, governance, and audit requirements for automated decision systems.
• Excellent written and spoken English.