Let's build something greatStaff Full Stack Engineer (NYC) jobs in United States
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Knit · 1 month ago

Let's build something greatStaff Full Stack Engineer (NYC)

Knit is building an agentic AI platform that helps enterprise brands run end-to-end consumer research. The Staff Full Stack Engineer will play a crucial role in shaping the core of the platform, building and orchestrating AI agents, and tackling complex problems in applied AI with autonomy and ownership.

AdvertisingArtificial Intelligence (AI)Consumer ResearchMarket ResearchSoftware
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H1B Sponsor Likelynote

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, 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
Level-up the team around you. Mentor and collaborate with other engineers to help make the entire team better

Qualification

LLM/agent systemsEvent-driven systemsObservability toolsEnterprise securityPythonReactFastAPIBias to actionCollaborationHigh ownership

Required

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

Equity Options
Healthcare (medical, dental, and vision)
Additional Coverage
A company laptop
One-time, onboarding Technology Stipend
A 401(k) with company match
Flexible time-off
Hybrid working
And more!

Company

Knit

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Knit is an end-to-end insights platform that combines the power of quantitative, video, and artificial intelligence.

H1B Sponsorship

Knit has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (2)
2023 (1)
2022 (2)
2021 (1)

Funding

Current Stage
Early Stage
Total Funding
$30.65M
Key Investors
Silicon Road VenturesTechstars
2025-07-31Series A· $16.1M
2024-09-18Series A· $9M
2022-06-13Seed· $3.55M

Leadership Team

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Aneesh Dhawan
Founder and CEO
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Company data provided by crunchbase