Engineering Manager- (Agentic AI Products)

About the role

We are building AI-native, agentic products that redefine how customers interact with financial institutions across voice, chat, and digital channels. We are looking for a Hands-On Engineering Manager - Agentic AI Products who operates with an AI-first mindset , has deep backend systems experience, and is comfortable orchestrating multiple AI agents to ship production-grade systems. This role requires someone who: Has built complex distributed backend systems Understands low-latency architectures (voice, telephony, streaming, chat) Is fluent in modern agentic AI engineering Thinks like a founder Leads by building Raises the engineering bar You will architect, review, code, debug, and ship along with building your high performance engineering team.

Responsibilities

• Lead with an AI-First Engineering Mindset
• Drive AI-first thinking across product architecture and execution.
• Embed LLMs, multi-agent systems, and structured reasoning into customer-facing workflows.
• Champion agentic engineering principles across your team.
• Evaluate and adopt emerging AI capabilities pragmatically and responsibly.
• Raise the quality bar for AI-generated and human-written code alike.
• Build and Orchestrate Agentic Systems
• Architect and implement systems that coordinate multiple AI agents with memory, planning, reflection, and tool use.
• Be hands-on in coding, agent loop design, evaluation, and reinforcement strategies.
• Actively participate in the code base
• Design orchestration layers that convert AI reasoning into reliable execution.
• Build control frameworks around LLMs for grounding, safety, and deterministic behavior.
• Develop evaluation pipelines to ensure agents meet production standards.
• Own Low-Latency, High-Concurrency Backend Systems
• Design distributed backend systems serving real-time voice and chat interactions.
• Optimize latency-sensitive systems across telephony, streaming, and API layers.
• Build event-driven architectures that handle high concurrency and fault tolerance.
• Implement state management and memory layers for conversational agents.
• Drive reliability, failover, and graceful degradation strategies.
• Ship Production-Ready AI Products
• Ensure AI-generated outputs translate into robust, testable, production-quality code.
• Maintain high standards for observability, monitoring, and debugging.
• Build automation and testing strategies for agent-based systems.
• Ensure security, compliance, and safe handling of financial data.
• Create durable systems that scale with increasing AI complexity.
• Lead by example in adopting AI tooling (Cursor, Claude Code, LLM automation) to improve engineering velocity and code quality
• Operate Like a Founder
• Demonstrate extreme ownership across product, architecture, and delivery.
• Drive clarity in ambiguous problem spaces.
• Move quickly without compromising engineering rigor.
• Build and grow a high-performance team with bias to action.
• Set culture around accountability, urgency, and craftsmanship.
• Required 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: You care deeply about the product experience
• Strongly Preferred
• Experience building AI-native customer-facing products.
• Experience in Fintech or regulated environments.
• Familiarity with multi-agent architectures and reasoning fr

Additional Information

Banking is being reimagined-and customers expect every interaction to be easy, personal, and instant . We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals . Powered by our proprietary BankGPT platform , this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack , unlocking a $200B opportunity and potentially replacing multiple publicly traded companies . Ultimately, our mission is to drive financial well-being for millions of consumers. With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at interfaceai? Share your experience