AI Engineer

Job not on LinkedIn

🕒 March 20

🇺🇸 United States – Remote

💵 $140k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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Knotch

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

SaaS • Artificial Intelligence • B2B

Knotch is an AI-powered content intelligence and optimization platform that helps brands measure, diagnose, and improve content performance across their websites and customer journeys. Knotch One offers site-wide content audits, engagement and sentiment analytics, conversion and journey tracking, surveys, and AI-driven content optimization, generation, versioning, and playbooks for SEO and LLM discoverability. The company also provides managed AI services (AgentC) and tools for repurposing, testing, and scaling high-performing content tailored to a brand’s voice.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

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