{"id":853307,"url":"https://alion.io/job/knit-staff-full-stack-engineer","title":"Staff Full Stack Engineer","company":{"id":678937,"name":"Knit","domain":"knit.io","url":"https://alion.io/company/knit-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":70,"open_postings":12,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":250000,"max":300000,"currency":"USD","period":"year","gross":null,"usd_annual":300000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"GDPR","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Distillation","optional":false},{"name":"Next.js","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SOC 2","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"GitHub Actions","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"Pinecone","optional":true},{"name":"Redis","optional":true}],"status":"live","first_seen_at":"2026-04-25T19:25:11Z","employer_posted_date":"2026-07-06","last_verified_at":"2026-10-01T00:58:05Z","board_verified":true,"closed_at":null,"days_open":158,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":158},"description":"A little about us… \nKnit 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.\nOverview\nWe’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.\nAs an early member of the team, you’ll play a key role in shaping the core of our platform and contributing to a team that will scale to 20+ engineers over the next 18 months. You’ll build and orchestrate AI agents, explore new UX paradigms, and work on some of the hardest problems in applied AI with meaningful ownership across the stack.\nResponsibilities | What you will own... \nPrimary responsibilities of this role:\nOwn 0→1 and 1→N features across the stack, from design docs to building high-throughput data pipelines and scalable FastAPI services.\nArchitect 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.\nBuild 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.\nDevelop 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.\nShip fast, safely. You’ll instrument everything for reliability, write concise design docs, add robust tests, and build dashboards and alerts for features you launch.\nPartner cross-functionally with Product, AI, Design, CS; talk to customers and SMEs, and turn ambiguous problems into shipped product.\nObsess over performance, optimizing for latency across the system: caching, model selection, distillation, batching, vector search, and infrastructure efficiency (GPU/CPU).\nOperate what you build. This includes on-call ownership, leading incident response, and driving learning through blameless postmortems.\nLevel-up the team around you. Mentor and collaborate with other engineers to help make the entire team better.\nThis role is for you if...\nYou’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.\nYou’re a systems thinker with deep technical chops: you design clear architectures and write clean, tested Python and TypeScript.\nYou think like an owner: you spot problems, propose solutions, and build them without waiting for perfect specs. Your impact is measured in business outcomes.\nYou 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.\nYou believe speed and quality aren’t opposites and can articulate the tradeoffs you make.\nYou communicate crisply. You share your ideas effectively and thrive in tight feedback loops with product, design, and customers.\nYou’ve got grit: hard problems energize you, context switching doesn’t scare you, and you’re comfortable deleting code.\nOur Stack\nFrontend: React, Next.js\nBackend: Python, FastAPI\nData/ML: MongoDB, S3, Redis; Pinecone\nInfra: AWS, Docker, Kubernetes; CI/CD with GitHub Actions.\nMessaging: SQS; event-driven pipelines.\nRequired Skills & Experiences \nThe 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.\nRequired:\nExperience with LLM/agent systems, evals, and prompt tooling; RAG, embeddings, vector dbs.\nDeep knowledge of event-driven systems, streaming, and workflow engines.\nExpertise in observability (OpenTelemetry/Prometheus/Datadog), feature flagging, or A/B platforms.\nBackground in enterprise security and compliance (SOC 2, GDPR)\nBias to action: short specs, small PRs, daily deploys.\nIn-person collaboration: we’re building the NYC hub together; whiteboards > long threads.\nHigh ownership: you’ll touch product, talk to customers, and influence the roadmap.\nBenefits\nUpon 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!\nSalary\nIn accordance with New York pay transparency requirements, the salary range for this role is $250,000 - $300,000. Final compensation will be determined based on the candidate’s level, experience, and qualifications upon joining Knit.\nOur Company Values\nWe are the Championship Team. This means we:\nAre 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?” \n 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).\nKeep the main thing the main thing: Identify what has the biggest impact and prioritize to focus on it.\nKnit Privacy Policy here.\nCCPA disclosure here.","description_format":"text","description_chars":5851,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-13T04:44:18Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.263,"p_room":0.28,"age_days":158,"expected_fill_days":30,"reasons":["conf:4","stale_co","ghost","win:tail","crowd:"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":300000,"is_top_pay":true},"html_url":"https://alion.io/job/knit-staff-full-stack-engineer","json_url":"https://alion.io/job/knit-staff-full-stack-engineer.json","meta":{"generated_at":"2026-10-01T11:36:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3291,"day_limit":5000,"remaining_today":1709,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}