Senior Full Stack Engineer

**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/GraphQL * **BE:** Node/TypeScript and/or Python FastAPI * **Data:** Postgres, Redis/Upstash, optional vector store * **Infra:** Vercel/Fly.io/Cloudflare \+ Docker; CI/CD (GitHub Actions) * **AI:** OpenAI, Anthropic, local SLMs when useful; evaluation harness \+ prompt/version control **How 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** 1. **Intro chat** (30 min): goals, mindset, what great looks like. 2. **Builder exercise** (home or live, 2–4 hrs): ship a tiny agent or automation; explain trade\-offs. 3. **Technical deep dive** (60 min): architecture, data modeling, reliability, AI evals/cost. 4. **Team fit** (30 min): collaboration, feedback loops, “why before what.” **Compensation** Competitive salary \+ meaningful equity. We optimize for **ownership** and **impact** .