Lead AI Automation Engineer

Overview

In MPB’s AI Automation Hub, you will build production-ready, agentic AI systems that improve daily workflows. You’ll work alongside a small, peer-led team to move ideas from concept to usable tools, shaping how we evaluate AI outputs and select models. The role blends hands-on engineering with cross-functional collaboration to deliver high-value AI use cases. You’ll help scale our hub across markets and foster a culture of learning and responsible AI deployment.

Responsibilities

• Design and ship production-ready AI systems including agents, retrieval pipelines and automations
• Prototype quickly with working demos; align implementations with the agentic reference architecture
• Collaborate with AI Product Manager and AI Scientist to prioritize backlog and ensure value
• Evaluate LLM outputs and select appropriate models to balance budget and impact
• Coach and influence teams across MPB experimenting with AI
• Identify and communicate which AI opportunities are worth acting on and track frontier developments

Key requirements

• Strong software engineering background with production-distributed systems
• Hands-on experience with LLM orchestration, agent frameworks and RAG
• Experience with low-code automation tools (n8n)
• Proficient in Python or Node.js
• Experience with cloud-native architecture (GCP or AWS), API management and robust backend pipelines
• Structured, pragmatic approach to debugging non-deterministic systems
• Ability to explain complex ideas clearly to a non-technical audience
• Degree in Computer Science, Engineering or related field (or equivalent experience)
• Experience coaching or influencing teams without formal authority
• Track record of turning emerging AI tooling into practical opportunities
• Clear communication
• Cross-functional collaboration
• Mentoring or coaching
• LLM orchestration
• Agent frameworks
• RAG

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