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 buildersWhy this role We’re hunting forproduct–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 youcode 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; designagenticworkflows 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) 2–3prod-quality launches/monthfrom idea → shipped. Clearlearning 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 shippedLLM/SLMfeatures (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. Lovedebugging 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 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 forownershipandimpact .