Senior Software Developer, AI Agents

🕒 September 10

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Knak

51 - 200 employees

🏢 Enterprise

☁️ SaaS

📣 Marketing

Enterprise • SaaS • Marketing

Knak is an innovative company providing a no-code campaign creation platform designed specifically for enterprise marketing teams. It enables marketers to rapidly create and deploy professional emails and landing pages without needing technical coding skills, thereby speeding up time-to-market and allowing for greater creativity in campaign execution. Knak offers a range of features including email builder, landing page builder, dynamic content personalization, and seamless integrations with existing marketing technology. With an emphasis on security and SOC 2 compliance, Knak is trusted by major global brands to optimize their marketing workflows and enhance team collaboration.

📋 Description

• Build and scale the AI-agent harness behind Knak’s enterprise email and landing-page platform • Design and implement the core Python agent runtime, including orchestration loops, tool definitions and execution, memory and context management, structured outputs, and failure handling • Build and maintain evaluation datasets, automated evaluators, and LangSmith LLM-as-judge pipelines • Diagnose agent failures, tune prompts and tool designs, and run model comparisons and benchmarks • Build Python and Node.js AI microservices for agent hosting and LLM interaction • Develop and maintain Laravel (PHP) APIs integrating agents into the Knak platform • Use AWS services including Lambda, Bedrock, and CDN delivery to deploy secure, scalable infrastructure • Tune MySQL queries and indexing • Lead and participate in code reviews • Collaborate with product, design, QA, and DevOps • Mentor engineers on agent development and evaluation practices • Contribute to architecture decisions and collaborate with engineering and product

🎯 Requirements

• 6+ years of backend software development experience • Hands-on experience building LLM-powered agents in production, including tool calling, orchestration, context management, and prompt engineering • Experience designing and running evaluations for LLM systems, including dataset curation, automated evaluators, LLM-as-judge, and regression tracking • Strong proficiency in Python, Node.js, and MySQL • Expertise in RESTful APIs, TDD, and CI/CD with GitHub Actions • Experience with SaaS architecture, microservices, and AWS • Knowledge of observability, performance tuning, and scalability • Familiarity with Docker/Kubernetes • Excellent problem-solving skills and a collaborative mindset

🏖️ Benefits

• Competitive salaries • Equity in the company • Great benefits • Paid vacation • Life leave days • Team lunches and off-sites • Commitment to career growth • Inclusive, barrier-free working environment • Interview-process accommodations • AI screening and transcribed video interviews with human decision-making

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