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# Full Stack Engineer

- **Company:** KNT LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $275,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Cursor, Github, Python (Programming Language), MongoDB, Redis, Prometheus, Microsoft Copilot, Next.js, Search Technologies, Data Streaming, TypeScript, Datadog, Pinecone, ReactJS, Retrieval-Augmented Generation, Large Language Models, Claude Code, Multi-Agent Systems, Model Validation, Caching, Fastapi, Event Driven Architecture, Kubernetes, Front End Software Development, Amazon Simple Queue Service (SQS), Data Pipelines, Docker
- **Published:** October 13, 2026
- **Apply:** https://www.juju.com/job/16_c078a3425

## About the Role

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.

## Description

* 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.

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.