Software Engineer, Applied AI

The role

You will design, build, and improve the core systems behind agents in production. You will work across retrieval, document understanding, tool use, context management, prompting, and orchestration.

What you will do

• Build and improve the core systems behind agents across retrieval, tool use, document understanding, memory, and orchestration
• Design evals and experiments that help 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
• Own the loop from idea to implementation to measurement to iteration

Required qualifications

• 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
• Strong systems taste
• High ownership and comfort working in ambiguity
• Strong opinions about what makes agent systems actually work

About the company

Auctor is building the AI layer for professional services and software implementation. They automate the documentation, the discovery, and the decision-making that powers $400B+ in services work.