Founding AI Engineer

Interfere is building the self-healing layer of the internet: software that detects issues, diagnoses root causes, and ships fixes before anyone notices something’s broken. The goal is to empower founders, product managers, and designers to understand how the product they're building actually works in the real world. Software runs civilization. When it breaks, the world stutters. We're building its immune system. This is not a normal job – it demands taste, intensity, and obsession. Difficulty wakes the genius.

The Moment

AI has democratized shipping code, but excellence remains scarce. We're creating the infrastructure that makes product excellence no longer aspirational but inevitable and expected. We've raised over $5.1M from world class investors like Y Combinator, Vercel Ventures, Hummingbird, Designer Fund, and many others to turn our vision into reality. This isn't about incremental improvements, but about fundamentally changing how reliable software gets built.

The Role

As a Founding AI Engineer, you'll build the intelligence that powers autonomous software repair. You'll design and train systems that understand codebases, reason about failures, and generate fixes that work. This is applied AI at its most consequential - where model performance directly determines whether production systems stay online.

The Work

You'll operate at the intersection of the impossible and the inevitable. This role demands

Depth over breadth – You'll go deeper into problems than most think necessary, finding elegance where others accept complexity

Craft at velocity – Ship exceptional work quickly without compromising on quality that matters. Both form and function, never just one or the other

"High Standards Win" – Question everything, rebuild from scratch when needed, never accept "that's how it's done" or "good enough"

Ownership without borders – Your domain is whatever needs doing to make Interfere exceptional. No excuses

What You'll Build

Detection systems that identify anomalies and failures across millions of codebases

Diagnostic models that trace bugs to root causes through complex execution paths

Code generation systems that produce fixes developers trust to ship

Reasoning engines that understand when to act autonomously and when to defer to humans

Evaluation frameworks that measure what matters - real-world reliability, not benchmark scores

Infrastructure that serves AI models at scale with latency that doesn't break user experience

What We're Looking For

Immense pride in the work you do and a desire to build the best products on earth

Builders with taste: You know the difference between good and great, and you can't sleep until you've achieved the latter

Systems thinkers: You see patterns others miss, and you understand how AI fits into larger systems. You design for reliability, not just capability

Relentless learners: You dive into unfamiliar domains and emerge with either expertise or a delusional drive to acquire it, and you form hypotheses, run experiments, and let data guide your decisions

Clear communicators: Complex model behaviors become understandable when you explain them

Domain experts: Deep experience with LLMs, prompt engineering, fine-tuning, or AI infrastructure. You've shipped AI systems that real users depend on.

Nice to Have

Experience with code analysis, program synthesis, or software engineering AI agents

Track record with RAG systems, agentic workflows, or multi-step reasoning

Deep familiarity with model serving infrastructure, vector databases, or real-time inference

Background in developer tools, observability platforms, or infrastructure

Portfolio of work that demonstrates exceptionality - research papers, open source contributions, production AI systems you've built

What We Offer

Founding team equity and competitive compensation

Complete ownership of meaningful work

Health, dental, and vision coverage

Visa sponsorship for exceptional international candidates

The opportunity to define how AI rebui