Software Engineer, AI Agents

Accountabilities

• Rapidly prototype and develop proofs of concept that explore innovative ways to integrate AI into data and marketing workflows.
• Design and architect production-grade LLM applications and pipelines, making thoughtful decisions around AI architectures, frameworks, and technical approaches.
• Build production data agents capable of using customer and business data to answer analytics, data science, and marketing-related questions.
• Translate customer needs and real-world workflows into intuitive AI-assisted product experiences.
• Work closely with product and engineering stakeholders to take projects from initial concept through architecture, implementation, iteration, and production.
• Evaluate emerging AI technologies and approaches, identifying opportunities to improve product capabilities, reliability, usability, and performance.
• Balance rapid experimentation with scalable engineering practices when moving successful prototypes into production.
• Apply strong product judgment to technical decisions, ensuring AI solutions solve meaningful customer problems rather than simply demonstrating technical capabilities.
• Operate with a high degree of autonomy, taking ownership of ambiguous problems and driving them toward practical, measurable outcomes.

Requirements

• Strong software engineering experience, particularly in backend architecture and building complex production systems.
• Demonstrated ability to take technical projects from initial concept through implementation and production.
• Strong product intuition and customer orientation, with the ability to understand user needs and translate them into effective technical solutions.
• Experience designing or architecting data-processing systems, distributed systems, APIs, or other backend infrastructure.
• Creative and intellectually curious approach to applying emerging technologies to real-world problems.
• Strong analytical and problem-solving skills, with the ability to navigate ambiguous technical and product challenges independently.
• Ability to rapidly prototype ideas while also understanding how to build reliable, maintainable production systems.
• Strong communication and collaboration skills, particularly when working across technical and product disciplines.
• Comfort making architectural and technical decisions with limited direction and taking full ownership of outcomes.
• Prior hands-on experience with LLMs, AI agents, or generative AI is not required, but genuine interest in the space and willingness to learn quickly are essential.
• Experience working in a fast-paced, high-autonomy environment where impact and growth are valued alongside traditional measures of seniority.

Benefits

• Annual salary range of $180,000–$400,000 USD, with compensation designed to be location-independent under a remote-first approach.
• Fully remote work environment across North America.
• Opportunity to work at the forefront of AI, LLM applications, and agentic systems.
• Significant autonomy and ownership over technical architecture and product direction.
• Opportunity to build production AI systems that directly address complex data and marketing use cases.
• A senior-level role focused on impact, technical growth, and potential rather than years of experience alone.
• Collaborative environment with ambitious, impact-driven colleagues who value humility, kindness, and customer focus.
• Interview process centered on product sense, AI creativity, backend architecture, and values alignment rather than traditional programming interviews.