Engineering Manager- (Agentic AI Products)

About the role

We are building a universal banking assistant that aims to displace legacy systems within financial institutions and own the end-to-end customer experience (CX) stack. Our mission is to drive financial well-being for millions of consumers.

Responsibilities

• Lead with an AI-First Engineering Mindset
• Build and orchestrate agentic systems
• Own low-latency, high-concurrency backend systems
• Ship production-ready AI products
• Operate like a founder

Requirements

• 8+ years of backend engineering experience building distributed systems
• Strong experience with low-latency systems
• 3+ years working with LLM-powered or AI-driven systems in production
• Hands-on experience building systems that interface with LLMs
• 2+ years experience in engineering management or technical leadership
• Hands-on experience designing and orchestrating agentic workflows
• Strong proficiency in Typescript and/or at least two backend languages
• Deep understanding of distributed systems, concurrency, and reliability
• Experience managing engineers while remaining deeply hands-on
• Experience deploying AI systems in cloud environments
• Product Mindset: Cares deeply about the product experience

Preferred

• Experience building AI-native customer-facing products
• Familiarity with multi-agent architectures and reasoning frameworks
• Experience with reinforcement learning or adaptive optimization loops
• Experience building structured evaluation and monitoring for AI agents

Qualifications

• 8+ years of backend engineering experience building distributed systems
• Strong experience with low-latency systems such as: Voice / telephony platforms, Real-time streaming systems, Chat or messaging architectures
• 3+ years working with LLM-powered or AI-driven systems in production
• Hands-on experience building systems that interface with LLMs
• 2+ years experience in engineering management or technical leadership with a proven ability to grow and mentor engineers
• Hands-on experience designing and orchestrating agentic workflows
• Strong proficiency in Typescript and/or at least two backend languages (Node.js, Go, Java, Rust etc)
• Deep understanding of distributed systems, concurrency, and reliability
• Experience managing engineers while remaining deeply hands-on
• Experience deploying AI systems in cloud environments
• Product Mindset: Cares deeply about the product experience