Founding Full Stack Engineer

Who we're looking for…

Role

Founding Full Stack Engineer

Team

Engineering

Reports To : Head of Engineering

Location : Knit's NYC office

(Hybrid)

Operating hours : Monday - Friday 9am - 5pm EST.

Travel : This role will occasionally be expected to travel for ad hoc in-person customer requests, in-person internal working sessions, and our once per year US All Team Summit. [To be less than 15%]

A little about us…

Knit is building the agentic AI platform that helps enterprise brands run end-to-end consumer research. We orchestrate specialized AI agents for surveys, data collection, analysis, and reporting, delivering decision-grade insights to Fortune 1000 brands in hours, not weeks.

In under two years, we've partnered with 50+ leading enterprise brands, including Amazon,

MarsNASCARJBLESPN

, and Paramount. Knit has grown 500% in the last 12 months and raised $30.6M to date, including a

$16.1M Series A in July 2025Here

are example case studies that demonstrate the value of our platform. A product demo can be found

here

Overview

We're building our foundational NYC engineering team from scratch and looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments.

As one of the first in-house engineers, you'll shape the core of our platform and the culture of a team that will scale to 20+ over the next 18 months. You'll build and orchestrate AI agents, pioneer new UX paradigms, and tackle some of the hardest problems in applied AI with autonomy and end-to-end ownership.

Business Impact | What you will own…

• Own 0?1 and 1?N features across the stack,

from design docs to building high-throughput data pipelines and scalable FastAPI services.

designing complex, multi-agent LLM workflows (routing, tool-use, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users.

Build our experimentation platform : CI / CD for prompts and agents, offline / online evals, drift detection, safety layers, and rollout controls.

You'll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch.

with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product.

optimizing for latency across the system : caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU / CPU).

This includes on-call ownership, leading incident response, and driving learning through blameless postmortems.

Our Stack

React, Next.js

Python, FastAPI

MongoDB, S3, Redis; Pinecone

AWS, Docker, Kubernetes; CI / CD with GitHub Actions.

SQS; event-driven pipelines.

This role is for you if...

You're a

0 ? 1 builder

who thrives in ambiguity and has shipped products from scratch at a startup or in a hyper-growth phase. You've seen both - early-stage hustle and later-stage scale and know how to build for it.

You're a

systems thinker

with deep technical chops : you design clear architectures and write clean, tested Python and TypeScript.

You

think like an owner

you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes.

Tools like Cursor, Copilot, or Claude Code are integral to your workflow, helping you ship faster while maintaining a high standard for correctness.

You believe

speed and quality aren't opposites

and can articulate the tradeoffs you make.

You share your ideas effectively and thrive in tight feedback loops with product, design, and customers.

You've got

grit

hard problems energize you, context switching doesn't scare you, and you're comfortable deleting code.

This role is NOT for you if...

You see a hard line between "frontend," "backend," and "product."

You are uncomfortable with ambiguity, rapid context-switching, and dynamic priorities.

You are looking for a predictable, 9-to-5 role.

Required Skills & Experiences

Experience with LLM / agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs.

Deep knowledge of event-driven systems, streaming, and workflow engines.

Expertise in observability (OpenTelemetry / Prometheus / Datadog), feature flagging, or A / B platforms.

Background in enterprise security and compliance (SOC 2, GDPR)

Bias to action : short specs, small PRs, daily deploys.

In-person collaboration : we're building the NYC hub together; whiteboards >

long threads.

High ownership : you'll touch product, talk to customers, and influence the roadmap.

Benefits

Upon joining the Knit team in this foundational role, you will receive a competitive salary, Equity Options, Healthcare (medical, dental, and vision), and Additional Coverage, a company laptop and one-time, onboarding Technology Stipend, a 401(k) with company match, flexible time-off, hybrid working, and more!

Salary Range

$200,000 - $300,000 annually