AI Engineer

Vaga não está no LinkedIn

🕒 Março 20

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $140.000 - $220.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de IA

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Knotch

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2013

☁️ SaaS

🤖 Inteligência Artificial

🤝 B2B

SaaS • Artificial Intelligence • B2B

O Knotch é uma plataforma de inteligência e otimização de conteúdo movida por IA que ajuda marcas a medir, diagnosticar e melhorar o desempenho do conteúdo em seus sites e jornadas dos clientes. O Knotch One oferece auditorias de conteúdo em todo o site, análises de engajamento e sentimento, rastreamento de conversão e jornada, pesquisas, e otimização, geração, versionamento e playbooks de conteúdo impulsionados por IA para SEO e descoberta por LLM. A empresa também fornece serviços gerenciados de IA (AgentC) e ferramentas para reutilizar, testar e escalar conteúdo de alto desempenho adaptado à voz da marca.

Descrição

• Develop and deploy AI agents that automate complex workflows across the Knotch platform. • Build the internal tools and infrastructure that power, monitor, and maintain these agents in production. • Design and implement backend and frontend services, APIs, and data pipelines, integrating AI functionality into user-facing features. • Contribute to system architecture and core platform design alongside the broader engineering team. • Collaborate closely with Product, Data Engineering, Backend, and Frontend teams to align AI capabilities with product direction and ensure seamless integration across the stack. • Design and maintain a suite of evaluations and benchmarks to measure agent accuracy, reliability, and cost-effectiveness. • Optimize inference pipelines and backend systems for speed, scalability, and cost. • Own the AI safety and governance layer — guardrails, audit logging, fallback logic, and access controls that ensure our agents operate reliably and responsibly.

🎯 Requisitos

• You have at least 3+ years of software engineering experience building and shipping LLM-powered applications, within within SaaS startup environments (marketing or digital analytics experience is considered an asset) . • Prior startup, growth-stage, or SaaS platform experience working in fast-paced, agile environments. • Hands-on experience building production AI agents using LLM orchestration frameworks — LangGraph, LangChain, or similar. • Deep familiarity with agentic patterns — tool/function calling, multi-agent orchestration, memory management, and MCP. • Strong Python proficiency and backend API development experience. • Data Engineering and/or analytics background, including building pipelines, transformations, and querying data warehouses like Snowflake. • Solid grounding in NLP concepts — tokenization, embeddings, semantic similarity, and how language models process and generate text. • Experience building RAG pipelines and integrating LLMs against structured data sources. • Prompt engineering fluency — systematic design, structured outputs, and schema definitions. • An evaluation and observability mindset — you think about how to measure and monitor agent behavior, not just ship it.

🏖️ Benefícios

• Comprehensive medical, dental, and vision insurance eligibility • 401(k) plan • Unlimited PTO • 10+ company-paid holidays • A daily company-wide break, and more!