Full Stack Engineer

• Own 01 and 1N 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 (routing, tool-use, memory, evaluation) 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.

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.
• You use AI as leverage. 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 communicate crisply. 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.

Our Stack

• Frontend: React, Next.js
• Backend: Python, FastAPI
• Data/ML: MongoDB, S3, Redis; Pinecone
• Infra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions.
• Messaging: SQS; event-driven pipelines.

We’re continuing to build out our NYC engineering team and are looking for exceptional builders who are resourceful, deeply technical, and thrive in high-ownership environments., The successful candidate will be a high-ownership, product-minded engineer who combines strong full-stack fundamentals with experience building AI-native systems, capable of turning ambiguous problems into scalable, reliable features that drive real business impact., * 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.

Upon joining the Knit team, you will receive a competitive salary + commission plan if applicable to role, 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

In accordance with New York pay transparency requirements, the salary range for this role is $200,000 - $275,000. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit. Our Company Values

We are the Championship Team. This means we:

• Are 1% better every day: We approach situations with a growth mindset and ask, “How can we make the business better?” and “What would it take?”
• Play to win: We set audacious goals and push ourselves to achieve them with a bias towards action (When we see a need, we take initiative, and hold ourselves accountable to seeing it through).
• Keep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it.

Knit is the AI-native consumer research platform helping brands automate and accelerate primary research. With our Researcher-Driven AI, we’ve condensed the entire quant + qual research process from weeks into days (sometimes hours!) for 50+ enterprise brands - including Amazon, T-Mobile, Mars, NASCAR, and more. We’re on a mission to scale and democratize world-class research. From survey generation to stakeholder-ready reports, our platform is redefining how insights teams operate - and we need your help to push the limits of what’s possible.