Full-Stack Software Engineer (Agents & Rapid Prototyping)
Location : Remote (US-friendly hours) - Central Time Zone
Type : Full-time (founding / early engineer)
Team : Small, passionate, ego-free builders
Why this role
We’re hunting for product–market fit . That means we ship POCs fast, test hypotheses daily, and aren’t afraid to throw work away if the data says so. If you code for fun , ask “ why ” before “ how ,” and love turning messy problems into scrappy automation that actually saves people time—this is your playground.
So we're on the same page, Vibe-Coding is helpful to very quickly discuss feature requirements and expectations before we commit to a full build.
What you’ll do
- Prototype at lightning speed : Build and ship POCs, internal tools, and production features in days—not weeks.
- Work with LLMs & SLMs : Integrate, evaluate, and fine-tune models; design agentic workflows that reduce manual work.
- Automate the boring stuff : Sniff out bottlenecks, redundancies, and paper cuts; replace them with lightweight automations.
- Balance build vs. buy : Pragmatically choose off-the-shelf services vs. custom code; optimize for speed, cost, and learning.
- Own the stack end-to-end : APIs, data models, frontends, deployments, instrumentation, and on-call for what you build.
- Collaborate without ego : Pair with design, product, and GTM to clarify the “why,” define thin slices, and ship continuously.
- Ruthlessly iterate : Be comfortable restarting weekly if needed; measure outcomes, not lines of code.
Outcomes (how we’ll measure success)
2–3 prod-quality launches / month from idea → shipped.Clear learning loops : each release produces measurable signal (conversion, retention, time-saved).Automation ROI : hours saved / team / week; decreased cycle time; reduced ops tickets.Agent impact : at least one agent in steady use by internal or pilot users within first 60 days.You might be a fit if you
Have 4+ years building full-stack products (or equivalent portfolio / hacker track record).Are fluent in a modern web stack (e.g., TypeScript / Node , Python , React / Next ; Postgres / Redis; REST / GraphQL).Have shipped LLM / SLM features (tool use, RAG, function calling, evals, latency / cost tuning).Can design simple, resilient backends; write clean, testable code; and deploy via CI / CD to a major cloud.Love debugging with data : logs, traces, metrics; you instrument before you guess.Communicate crisply, ask sharp questions, and default to action.Thrive in ambiguity; you don’t need a JIRA novella to start building.Nice to have
Vector DBs, embeddings, prompt / version management, offline evals.Agent frameworks (e.g., OpenAI tools, LangGraph, custom planners / executors).Queueing / event systems (e.g., Kafka, SQS), WebSockets, streaming.Security and privacy basics (authn / z, secrets, PII handling).Experience with low-cost scrappy stacks (Cloudflare, Fly.io, Supabase, Firebase).Our stack (evolving)
FE : React / Next.js, Tailwind, tRPC / GraphQLBE : Node / TypeScript and / or Python FastAPIData : Postgres, Redis / Upstash, optional vector storeInfra : Vercel / Fly.io / Cloudflare + Docker; CI / CD (GitHub Actions)AI : OpenAI, Anthropic, local SLMs when useful; evaluation harness + prompt / version controlHow we work
Learn >Perfect : Ship thin slices, get signal, iterate.
Write it down : Short RFCs → prototype → user feedback within days.Builder culture : No rockstars, no heroes—just ownership and curiosity.Time-zone friendly : Async first; quick huddles when needed.Interview flow
Intro chat (30 min) : goals, mindset, what great looks like.Builder exercise (home or live, 2–4 hrs) : ship a tiny agent or automation; explain trade-offs.Technical deep dive (60 min) : architecture, data modeling, reliability, AI evals / cost.Team fit (30 min) : collaboration, feedback loops, “why before what.”Compensation
Competitive salary + meaningful equity. We optimize for ownership and impact .