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 .