Staff Full Stack Engineer (NYC)

Knit Inc•New York, NY

25d•$250,000 - $300,000•Hybrid

About The Position

Knit is building the agentic AI platform that helps enterprise brands run endâtoâend 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, Mars, NASCAR, JBL, ESPN, 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 2025. Here 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.

Requirements

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

Responsibilities

Own 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services.
Architect and own the core agent orchestration engine, designing complex, multiâagent LLM workflows (routing, toolâuse, memory, evaluation) with deterministic fallbacks, guardrails, and auditable actions required by enterprise users.
Build AIânative, humanâinâtheâloop UIs. Craft React/Next.js interfaces that let users collaborate safely with agents, with transparency and explainability by design.
Develop the "factory for the factory". Build our experimentation platform: CI/CD for prompts and agents, offline/online evals, drift detection, safety layers, and rollout controls.
Ship fast, safely. You'll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch.
Partner crossâfunctionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product.
Obsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU).
Operate what you build. This includes onâcall ownership, leading incident response, and driving learning through blameless postmortems.
Level-up the team around you. Mentor and collaborate with other engineers to help make the entire team better.