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AI Engineer

Knotch, Inc. · Remote (United States), United States · Remote · Active · $140,000–$220,000 / year · Rippling ATS

Job facts

FieldValue
CompanyKnotch, Inc.
TitleAI Engineer
Normalized title-
Department / teamEngineering
LocationUnited States
Work modelRemote / Remote
Employment typeFull Time
Salary$140,000–$220,000 / year
Statusactive
ATS providerRippling ATS
Posted / first seen2026-03-17 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

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Linked records

CompanyKnotch, Inc.
Source39f526ee-294f-42bd-b6da-f601311d8013
ATS providerRippling ATS

Description

company About Knotch We're a growth-stage technology company helping brands optimize content performance and apply AI to modern marketing. Our culture is fast-paced, entrepreneurial, and highly adaptable—we move quickly, test ideas, and evolve with our customers. Through the Knotch platform, brands can measure the impact of their content, identify what drives results, and continuously improve performance across channels. By combining performance data, strategic insights, and AI-driven capabilities, we help marketing teams make smarter decisions and get more impact from every piece of content they produce. role About the Role Most companies building AI agents are starting from scratch. Knotch isn't. We've spent years accumulating one of the richest proprietary datasets in B2B content intelligence — deep signals on how content performs, what drives engagement, and what separates great content from noise. That data is our unfair advantage, and we're now ready to unleash it. We're at the beginning of an exponential shift — moving from a platform that surfaces insights to one that autonomously acts on them through Gen AI and Agentic AI. As a Senior AI Engineer, you'll have access to a unique data foundation and a leadership team fully committed to making AI central to everything Knotch does. This is a rare chance to build consequential AI — not demos, not experiments, but production-grade agents that enterprise clients depend on. This isn't an AI layer bolted onto an existing product. This is a ground-up reimagining of what content intelligence can be in the age of large language models and agentic AI. You'll shape not just how we build, but what we build and why. If you want to own the architecture, influence the roadmap, and watch your work directly move the needle for enterprise clients — this is that role. If you've made it this far, please kindly input this code with your application: AI-ENG-2026. Responsibilities 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. Qualifications 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) . Must Haves 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. Nice-to-Haves (not mandatory) Experience with vector databases (Pinecone, pgvector, Weaviate) or data warehouses like Snowflake. Familiarity with AI guardrail frameworks — Guardrails AI, NeMo Guardrails, or LlamaGuard. Exposure to fine-tuning techniques — LoRA, PEFT, or instruction tuning. Prior experience in a founding or first AI engineer role. How to be Successful Have hands-on experience building and shipping LLM-powered applications: you’ve moved beyond prototypes and understand what it takes to run reliable AI systems in production. Strong intuition for agentic design patterns: you can effectively leverage tool calling, multi-agent orchestration, memory, and MCP to solve real-world problems. Fluency in modern AI frameworks and backend systems: you’re comfortable working with tools like LangGraph or LangChain, and building robust Python-based APIs. Deep understanding of NLP and LLM behavior: you grasp concepts like embeddings, tokenization, and semantic similarity, and use that knowledge to build better systems. Thoughtful prompt and system design: you approach prompt engineering methodically, with an emphasis on structured outputs and reliability. Evaluation and observability focus: you don’t just ship agents; you think critically about how to measure, monitor, and improve their performance over time. Ownership and initiative: you take responsibility for your work, influence technical direction, and proactively identify opportunities to improve systems. Adaptability and curiosity: you stay on top of a rapidly evolving AI landscape and are eager to experiment, learn, and apply new techniques. Why Join Knotch We offer a unique opportunity to work with a powerful data moat built on years of proprietary B2B content intelligence, fuelling AI capabilities that competitors simply can’t replicate. Our modern AI stack includes tools like LangGraph, Claude, and Snowflake, supported by a team already executing on an AI-native architecture. You’ll have real ownership, with direct influence over system design, product direction, and roadmap decisions. The work is deeply consequential: the agents you build will be deployed in production for enterprise clients from day one, not confined to a sandbox. Most importantly, you’ll be backed by committed leadership — at Knotch, AI isn’t a side initiative; it’s the company’s next chapter. The expected salary range for this opportunity is $140,000–$220,000 USD depending on experience. Our Benefits and Perks Knotch is a fully remote company. Candidates may work from anywhere in the U.S., EST time zone preferred . Some of our other great benefits include: Comprehensive medical, dental, and vision insurance eligibility 401(k) plan Unlimited PTO 10+ company-paid holidays A daily company-wide break, and more! Equal Opportunity Employer Knotch is a US-based equal opportunity employer. We strive to provide equal opportunities in all of our processes, including our hiring and employee experience. We pride ourselves on our three values: transparency, relentlessness, and inclusiveness. We commit to daily work towards leading with empathy, reducing bias through periodic training, and engaging with and uplifting communities of marginalized groups. We condemn all forms of racism and discrimination on the basis of race, religion, ethnicity, nationality, gender identity, sexual orientation, age, marital status, pregnancy or parenthood status, veteran status, disability status, or any other identifier. We encourage all employees, clients, investors, candidates, vendors, and friends of Knotch to deliver honest feedback directly or anonymously so that we may always seek to improve as an organization dedicated to diversity, equity, inclusion, and belonging.

Full job record

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Source ID39f526ee-294f-42bd-b6da-f601311d8013
Board ID39f526ee-294f-42bd-b6da-f601311d8013
Providerrippling
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TitleAI Engineer
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DepartmentEngineering
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Employment Typefull_time
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Remote Policyremote
CountryUnited States
Region—
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Salary Rawsalary range for this opportunity is $140,000–$220,000 USD depending on experience
Salary Min140,000
Salary Max220,000
Salary CurrencyUSD
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Apply URLhttps://ats.rippling.com/knotch-inc/jobs/d8977ec5-c591-4809-8b2a-2d289a142ed9
First Seen At2026-05-29 07:10:23Z
Last Seen At2026-06-06 19:54:06Z
Last Checked At2026-06-06 19:54:06Z
Last Changed At2026-06-06 19:54:06Z
Inactive At—
Source Posted At2026-03-17 14:22:47Z
Source Updated At—
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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">About the Role</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Most companies building AI agents are starting from scratch. Knotch isn't. We've spent years accumulating one of the richest proprietary datasets in B2B content intelligence — deep signals on how content performs, what drives engagement, and what separates great content from noise. That data is our unfair advantage, and we're now ready to unleash it.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">We're at the beginning of an exponential shift — moving from a platform that surfaces insights to one that autonomously acts on them through Gen AI and Agentic AI. As a </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Senior AI Engineer,</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> you'll have access to a unique data foundation and a leadership team fully committed to making AI central to everything Knotch does. This is a rare chance to build consequential AI — not demos, not experiments, but production-grade agents that enterprise clients depend on.</span><br><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">This isn't an AI layer bolted onto an existing product. This is a ground-up reimagining of what content intelligence can be in the age of large language models and agentic AI. You'll shape not just how we build, but what we build and why. If you want to own the architecture, influence the roadmap, and watch your work directly move the needle for enterprise clients — this is that role. If you've made it this far, please kindly input this code with your application: AI-ENG-2026.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Responsibilities</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Develop and deploy AI agents that automate complex workflows across the Knotch platform.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Build the internal tools and infrastructure that power, monitor, and maintain these agents in production.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Design and implement backend and frontend services, APIs, and data pipelines, integrating AI functionality into user-facing features.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Contribute to system architecture and core platform design alongside the broader engineering team.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Collaborate closely with Product, Data Engineering, Backend, and Frontend teams to align AI capabilities with product direction and ensure seamless integration across the stack.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Design and maintain a suite of evaluations and benchmarks to measure agent accuracy, reliability, and cost-effectiveness.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Optimize inference pipelines and backend systems for speed, scalability, and cost.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Own the AI safety and governance layer — guardrails, audit logging, fallback logic, and access controls that ensure our agents operate reliably and responsibly.</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Qualifications</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">You have at least </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">3+ years</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> of software engineering experience</span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> building and shipping LLM-powered applications, within within SaaS startup environments</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">(marketing or digital analytics experience is considered an asset)</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br><b><strong style=\"white-space:pre-wrap;\">Must Haves</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Prior startup, growth-stage, or SaaS platform experience</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> working in fast-paced, agile environments.</span></li></ul><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Hands-on experience building production AI agents using LLM orchestration frameworks — LangGraph, LangChain, or similar.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Deep familiarity with agentic patterns — tool/function calling, multi-agent orchestration, memory management, and MCP.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Strong Python proficiency and backend API development experience.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Data Engineering and/or analytics background, including building pipelines, transformations, and querying data warehouses like Snowflake.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Solid grounding in NLP concepts — tokenization, embeddings, semantic similarity, and how language models process and generate text.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Experience building RAG pipelines and integrating LLMs against structured data sources.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Prompt engineering fluency — systematic design, structured outputs, and schema definitions.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">An evaluation and observability mindset — you think about how to measure and monitor agent behavior, not just ship it.</span><br><br></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Nice-to-Haves (not mandatory)</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Experience with vector databases (Pinecone, pgvector, Weaviate) or data warehouses like Snowflake.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Familiarity with AI guardrail frameworks — Guardrails AI, NeMo Guardrails, or LlamaGuard.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Exposure to fine-tuning techniques — LoRA, PEFT, or instruction tuning.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Prior experience in a </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">founding or first AI engineer role.</strong></b><br><br></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">How to be Successful</strong></b></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Have hands-on experience building and shipping LLM-powered applications:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> you’ve moved beyond prototypes and understand what it takes to run reliable AI systems </span><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">in production.</strong></b></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Strong intuition for agentic design patterns:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> you can effectively leverage tool calling, multi-agent orchestration, memory, and MCP to solve real-world problems.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Fluency in modern AI frameworks and backend systems:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> you’re comfortable working with tools like LangGraph or LangChain, and building robust Python-based APIs.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Deep understanding of NLP and LLM behavior:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> you grasp concepts like embeddings, tokenization, and semantic similarity, and use that knowledge to build better systems.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Thoughtful prompt and system design:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> you approach prompt engineering methodically, with an emphasis on structured outputs and reliability.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Evaluation and observability focus:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> you don’t just ship agents; you think critically about how to measure, monitor, and improve their performance over time.</span></li><li style=\"font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Ownership and initiative:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> you take responsibility for your work, influence technical direction, and proactively identify opportunities to improve systems.</span></li><li style=\"font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"font-size:11pt;white-space:pre-wrap;\">Adaptability and curiosity:</strong></b><span style=\"font-size:11pt;white-space:pre-wrap;\"> you stay on top of a rapidly evolving AI landscape and are eager to experiment, learn, and apply new techniques.</span><br><br></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:18pt;white-space:pre-wrap;\">Why Join Knotch</strong></b><br><span style=\"white-space:pre-wrap;\">We offer a unique opportunity to work with a powerful data moat built on years of proprietary B2B content intelligence, fuelling AI capabilities that competitors simply can’t replicate. Our modern AI stack includes tools like LangGraph, Claude, and Snowflake, supported by a team already executing on an AI-native architecture. </span><br><br><span style=\"white-space:pre-wrap;\">You’ll have real ownership, with direct influence over system design, product direction, and roadmap decisions. The work is deeply consequential: the agents you build will be deployed in production for enterprise clients from day one, not confined to a sandbox. Most importantly, you’ll be backed by committed leadership — at Knotch, AI isn’t a side initiative; it’s the company’s next chapter.</span><br><br><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">The expected salary range for this opportunity is </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">$140,000–$220,000 USD</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> depending on experience.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Our Benefits and Perks</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Knotch is a fully remote company. Candidates may work from </span><b><strong style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">anywhere in the U.S., EST time zone preferred</strong></b><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">. Some of our other great benefits include:</span></p><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Comprehensive medical, dental, and vision insurance eligibility</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">401(k) plan</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Unlimited PTO</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">10+ company-paid holidays</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">A daily company-wide break, and more!</span></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"white-space:pre-wrap;\">Equal Opportunity Employer</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">Knotch is a US-based equal opportunity employer. We strive to provide equal opportunities in all of our processes, including our hiring and employee experience. We pride ourselves on our three values: transparency, relentlessness, and inclusiveness.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">We commit to daily work towards leading with empathy, reducing bias through periodic training, and engaging with and uplifting communities of marginalized groups. We condemn all forms of racism and discrimination on the basis of race, religion, ethnicity, nationality, gender identity, sexual orientation, age, marital status, pregnancy or parenthood status, veteran status, disability status, or any other identifier. We encourage all employees, clients, investors, candidates, vendors, and friends of Knotch to deliver honest feedback directly or anonymously so that we may always seek to improve as an organization dedicated to diversity, equity, inclusion, and belonging.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
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GET https://api.bluedoor.sh/job-postings/v1/jobs/bb0885ef613edfe600b3198820dc060ba5c920b8?include=descriptionJSON
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GET https://api.bluedoor.sh/job-postings/v1/sources/39f526ee-294f-42bd-b6da-f601311d8013JSON
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