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 .