Senior AI Systems Engineer

AI Systems Engineer

Internal AI Automation & Agent Development
Reports to: CTO

If you're interested in applying please submit our culture test here: ---------- .

Role Overview

This role is responsible for building and scaling AMZ Prep’s internal AI systems and automation layer across the business.

You will design and deploy AI-powered systems that improve how our company operates across sales, operations, customer success, finance, and reporting.

This includes building autonomous agents, event-driven workflows, and real-time systems that reduce manual work, improve accuracy, and increase output per employee.

You will work closely with operations, customer success, finance, sales, and leadership to identify high-impact problems and replace them with scalable, production-grade systems.

This is not a research role.
This is a build and ship role.

Our Values

Our team operates with a few simple principles that guide how we work. If these do not resonate, this role is not for you.

Win Relentlessly

We work hard and stay resilient when things get difficult. We push to raise the bar every day and are obsessed with delivering results. We move fast, adapt quickly, and build systems that actually get used.

Own the Outcome

We take responsibility for results. We do not wait for direction. When something breaks, we fix it and ensure it does not happen again. We ship, measure, and improve continuously.

Be Humbly Confident

We communicate directly and operate without ego. We challenge ideas, accept feedback, and focus on building better systems.

Obsess Over Data
We measure everything. Time saved, cost reduced, errors eliminated. Data drives what we build and how we improve.

The Mission

Build AI systems that:
- Eliminate manual work across the company
- Increase output per employee
- Improve operational intelligence and decision making

Your work must produce measurable ROI.

What You Will Build

These are real systems we are actively building:

Sales Systems
- Agents that process call data, update CRM, and drive next actions
- Systems that monitor pipeline health and flag risks
- Automated proposal and quoting workflows

Marketing Systems
- Content generation and distribution engines
-Lead capture, enrichment, and routing workflows
-Systems that connect marketing output to pipeline and revenue

Operations Systems
-Freight and logistics agents that handle quoting, booking, and tracking
-Real-time monitoring systems for SLA and operational performance
-Internal copilots to support operations and customer success teams

Internal Tools and Automation
-AI assistants across departments
-Automated reporting and decision systems
-Internal platforms to standardize how AI is deployed across the company

What You Must Have Done
-5+ years of software development experience
-Built and deployed real systems into production
-Worked with APIs, data flow, and backend systems
-Integrated AI or LLMs into real workflows
Owned systems end-to-end from idea to deployment

If your experience is primarily building demos or chatbots, this is not the role.

Technical Expectations

You should be strong in several of the following:

Backend development (Python, Node, or similar)
API integrations and system design
Event-driven or distributed systems
Working with queues, background jobs, or real-time workflows
Cloud infrastructure (AWS or GCP)
Databases and data pipelines

You should be comfortable:

Building systems that run continuously, not one-off scripts
Designing for reliability, scale, and performance
Shipping quickly and improving over time
Bonus Experience
Experience with Java or Spring Boot
Experience building internal tools or automation platforms
Experience with monitoring and observability tools
Experience with real-time or low-latency systems
Exposure to logistics, supply chain, or operations

How You Think

You think in systems, not features.

You naturally ask:

How do we eliminate manual work completely
How do we design this to run without human involvement
How do we make this reliable at scale
How do we measure impact clearly

You are comfortable working in messy environments and turning them into structured, scalable systems.

What Success Looks Like

Within 90 days

Multiple production systems deployed
At least one manual workflow fully replaced
Clear, measurable impact delivered

Within 6 months

Core AI systems used across teams
Significant time savings across key workflows
Repeatable internal approach to building and deploying AI systems
Interview Expectations

You will be asked to:
- Walk through real systems you have built
- Show working demos or code
- Explain architecture decisions and tradeoffs

We care far more about what you have shipped than what you say.

If you're interested in applying:
1. Apply using the culture test here: ----------
2. Send a LOOM video showing us the best piece of work you've built and introduce yourself
3. Attach your GITHUB link inside too

(Failure to do all 3 will make sure you don't get the first round interview)