AI Engineer

We’re partnering with a rapidly scaling AI company developing intelligent systems that automate sophisticated, high-impact workflows for enterprise organizations. This role sits at the core of the company’s AI engineering efforts, with a focus on agent infrastructure, LLM systems, model orchestration, evaluation, and production-grade AI applications.

You’ll operate across applied AI research and software engineering, taking new advances in foundation models and agent technology and transforming them into dependable products that solve real-world customer problems.

What You’ll Do

• Architect and maintain the infrastructure powering AI agents, including tool execution, computer interaction, state, memory, and workflow coordination.
• Build agent systems capable of reasoning through and executing complex, multi-stage business processes.
• Develop model orchestration and routing systems that dynamically determine the best model or strategy for a given task.
• Create an adaptable AI infrastructure layer that can support multiple model providers and rapidly changing foundation-model capabilities.
• Design evaluation pipelines that continuously measure agent quality, reliability, and performance while catching regressions before deployment.
• Establish benchmarks and testing methodologies for complex, open-ended agent workflows that cannot be evaluated effectively through conventional methods.
• Convert advances in LLMs, agent frameworks, tool use, and computer-use technology into scalable production capabilities.
• Rapidly prototype and iterate across prompting, retrieval, fine-tuning, model selection, and agent design to improve outcomes.
• Influence architecture, engineering practices, and the broader technical roadmap as the organization scales.
• Contribute to building and expanding a high-performing AI engineering team., * Significant ownership, autonomy, and opportunity to influence the technical direction of a rapidly growing AI company

• Strong foundations in computer science, with a Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or a related technical discipline from a strong academic institution preferred.
• Proven experience developing and deploying LLM-based products, autonomous agents, or AI-driven automation systems.
• Strong knowledge of agent architectures, LLM APIs, tool calling, retrieval systems, prompting techniques, model selection, and orchestration.
• Experience taking experimental or research-oriented AI concepts and engineering them into robust, production-quality systems.
• Strong software engineering skills and the ability to work effectively in a fast-moving, technically ambitious environment.
• Comfortable experimenting quickly, measuring results, and iterating based on empirical performance.