Stealth
Founding Engineer | NYC
hn · ONSITE · $180k-$220k
Jose is a strong generalist founding engineer with proven 0→1 product shipping experience, deep full-stack capabilities across Python/Rust/TypeScript, and demonstrated ability to own complex systems end-to-end. His experience building real-time voice systems, agents, and infrastructure aligns well with the low-level systems work and agent development needed. The main gap is lack of direct experience with scientific instrumentation or industrial automation, though his emergency response infrastructure and geospatial systems work shows comfort in mission-critical, specialized domains.
Hook: Your founding engineer experience shipping real-time voice agents and infrastructure at scale, combined with comfort owning messy low-level systems, positions you perfectly to tackle the hard problem of getting AI agents to operate scientific instruments.
Missing: scientific instrumentation experience, industrial automation knowledge, hardware integration experience
Sent (1)
Hi, Getting an agent to actually operate instruments locked behind proprietary software with no real API is the kind of unglamorous, high-leverage problem I keep gravitating toward. At Addie I've been the sole engineer building an AI voice platform from empty repo to production — LangGraph agents, WebRTC + OpenAI Realtime at sub-200ms, now serving students in 10+ countries. Before that I spent years in expensive-failure systems: ingesting tens of millions of 911 calls during the COVID surge, and developer infra at Twilio. I'm comfortable owning architecture, build-vs-buy, and on-call at once. I work in Python/Rust/TypeScript, and the runtime-that-ties-it-together layer is exactly where I like to live — agents up top, low-level systems underneath. Happy to walk through the voice platform architecture or anything else. Would love to chat. Best, Jose Oliveros chinnno15@gmail.com
Posting
Stealth | Founding Engineer | NYC | ONSITE | Full-time | $180k-$220k base + equity We're working in the AI for science space, specifically at the point of experimental execution. Scientific labs run on expensive instruments locked behind proprietary software with no real API. Getting an agent to actually operate these machines is unsolved, and it's the bottleneck between "AI can design experiments" and "AI can run them." That's what we're building. Small, technical, well-funded team with real design partners already pulling on us. You'd be one of the first engineers, working directly with the founders across the stack: agents, low-level systems, ML infra, and the runtime that ties it together. Lots of hard, unglamorous, high-leverage problems. You might be a good fit if: - You're a strong generalist who's shipped real systems and can go deep when needed - You're comfortable in messy, low-level territory - Bonus: ML/agents, scientific instrumentation, or industrial automation - You want high ownership, high pace, onsite in NYC We're mostly a Python/Rust/Typescript shop. We care about what you've built, not credentials. To apply, email contact@tetherline.dev with a bit about yourself and something you've built you're proud of.