Design, build, and improve core systems behind AI agents.
•As a Software Engineer, Applied AI at Auctor, you will design, build, and improve the core systems behind our agents in production.
•Key Responsibilities Build and improve the core systems behind our agents across retrieval, tool use, document understanding, memory, and orchestration Design evals and experiments that help us understand agent quality in production Turn traces, failures, and user behavior into concrete product and architecture decisions Work closely with operations, GTM, and deployed teams to understand real workflows and where agents break down Evaluate models, prompts, and system designs across real enterprise tasks Requirements Strong engineering fundamentals and the ability to ship production systems Fluency in Python Experience building or working on LLM-powered products, agent systems, or adjacent applied AI systems An empirical mindset
•you reach for logs, traces, experiments, and real usage before guessing Strong systems taste
•you understand that retrieval, prompting, memory, tools, and UX interact High ownership and comfort working in ambiguity Strong opinions about what makes agent systems actually work