Full Stack AI Engineer (Founding)

The Role We're building Interfaze, the first LLM purpose-built for deterministic developer tasks. As a founding full stack engineer, you'll architect and ship the systems that let developers replace expensive, slow frontier models with specialized alternatives—processing over 10 million API requests and counting. You'll own critical infrastructure pieces while directly shaping the product developers use daily.

What You'll Do

• Design and implement backend services that orchestrate heterogeneous neural networks, small language models, and context-construction layers into a single OpenAI-compatible API
• Build SDKs and developer tooling across TypeScript, Python, Go, Java, and other languages—making Interfaze dead simple to integrate
• Optimize inference pipelines on Groq LPUs and other hardware to hit our latency and cost targets (3–10x cheaper than OpenAI)
• Instrument monitoring, logging, and reliability systems to handle deterministic structured outputs at scale
• Collaborate directly with founders to validate product-market fit and iterate based on real developer feedback

What We're Looking For

• 3+ years building production systems (APIs, backends, or distributed systems)
• Strong foundation in at least two languages from our stack (TypeScript/Python preferred)
• Experience shipping to developers or working with APIs (understanding DX matters)
• Comfort learning ML fundamentals on the job—you don't need a PhD, but curiosity is non-negotiable
• Nice-to-haves: infra automation, inference optimization, or prior startup experience