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 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 .