Software Engineer, AI Agents

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Software Engineer, AI Agents based in United States.

This is a senior, product-minded engineering role focused on building the next generation of AI-powered data and marketing experiences.

You’ll explore ambitious applications of LLMs, rapidly turning ideas and prototypes into production-ready systems.

The role combines backend architecture, AI experimentation, data engineering, and strong product intuition.

You’ll design intelligent agents that can work with customer data to answer complex analytics and data science questions.

You’ll also develop a deep understanding of user workflows to create seamless, practical AI-assisted experiences.

The environment is highly autonomous, fast-moving, intellectually curious, and focused on meaningful customer and business impact.

You’ll have significant ownership over technical and product decisions while helping shape emerging AI capabilities from the ground up.

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.