Knit
Join to apply for the Founding Full‑Stack Engineer (NYC) role at Knit.
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.
Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows with deterministic fallbacks, guardrails, and auditable actions required by enterprise users.
Build AI‑native, human‑in‑the‑loop 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 cross‑functionally 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 on‑call ownership, leading incident response, and driving learning through blameless postmortems.
Who we’re looking for Role : Founding Full Stack Engineer Team : Engineering Reports To : Head of Engineering Location : Knit’s NYC office (Hybrid)
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!
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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.
Architect and own the core agent orchestration engine, designing complex, multi‑agent LLM workflows with deterministic fallbacks, guardrails, and auditable actions required by enterprise users.
Build AI‑native, human‑in‑the‑loop 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 cross‑functionally 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 on‑call ownership, leading incident response, and driving learning through blameless postmortems.
Who we’re looking for Role : Founding Full Stack Engineer Team : Engineering Reports To : Head of Engineering Location : Knit’s NYC office (Hybrid)
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!
#J-18808-Ljbffr