Founding Engineer (Applied AI)

Augmeta • Seattle, WA

11d • $150,000 - $180,000

About The Position

We're building a system that can make and take decisions inside revenue-critical digital funnels, not in a sandbox, but in production systems where mistakes have real consequences. The challenge is not generating answers, but deciding what is true, what matters, and what to do about it under uncertainty. The data is messy, delayed, and often wrong. The same signal can have multiple competing explanations, and there is no clean ground truth to train on. Actions can improve or break real business outcomes, and trust has to be earned before the system is allowed to act. Most AI systems stop at insights because this part is hard; we are building systems that cross that boundary. Today, our system already runs continuous detection and root cause analysis in production inside mission-critical enterprise workflows. The next step is building systems that can safely take action and improve these funnels over time. If we get this right, software does not just assist decision-making; it becomes part of the decision loop itself.

This is a founding engineer role for someone who wants to build real systems from first principles and ship them into production. You will work directly with the founders to design, build, evaluate, and operate the core system. That includes everything from agent behavior and retrieval patterns to backend services, product surfaces, observability, and production reliability. This is not about stitching together demos; it is about building systems that can reason over messy context, make good decisions, explain themselves, recover from failure, and improve over time. There is no separation here between product, engineering, and company building. You will help shape all three.

Requirements

• Have built and shipped systems that real users relied on in production
• Are comfortable moving across backend, data, and AI application layers
• Care deeply about correctness, edge cases, failure modes, and decision quality
• Like ambiguous problems where the right abstraction is not obvious at the start
• Move fast while keeping quality high
• Want real ownership in a small, intense, high-trust team
• Have strong product instincts and like building things people actually use

Responsibilities

• Build and ship agentic systems that reason across fragmented enterprise data and workflows
• Design retrieval, memory, and context systems that help the product make better decisions over time
• Build the infrastructure around the model: orchestration, safeguards, fallbacks, logging, replayability, and monitoring
• Develop evaluation loops that measure quality, regressions, trust, and real-world performance
• Turn inconsistent signals, business logic, and historical outcomes into durable system context
• Design systems that know when to act, when to ask, when to wait, and when to do nothing
• Improve reliability under real production constraints like latency, cost, partial failures, and changing data
• Work across the stack when needed, including backend systems, product surfaces, internal tools, and data flows
• Partner closely with the founders on product direction, technical architecture, and engineering culture

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed