Auctor is the AI-native system of action for software implementations. Unify pre-sales and delivery to deliver projects faster, with less rework. Backed by Sequoia and Y Combinator.
About the role
As a Software Engineer, Applied AI at Auctor, you will design, build, and improve the core systems behind our agents in production. This role sits at the boundary of engineering and empirical research. You will work across retrieval, document understanding, tool use, context management, prompting, and orchestration. Some weeks you will be shipping new capabilities. Some weeks you will be mining production traces, designing evals, and figuring out which part of the system is actually failing.
What they're looking for
- 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
More about this role
Auctor is building the AI layer for professional services and software implementation. Think of us as the brain behind the best solution engineers, forward-deployed engineers, and onboarding teams—automating the documentation, the discovery, and the decision-making that powers $400B+ in services work. We're going after one of the biggest software categories of the decade.
As a Software Engineer, Applied AI at Auctor, you will design, build, and improve the core systems behind our agents in production.
This role sits at the boundary of engineering and empirical research. You will work across retrieval, document understanding, tool use, context management, prompting, and orchestration. Some weeks you will be shipping new capabilities. Some weeks you will be mining production traces, designing evals, and figuring out which part of the system is actually failing.
We are not looking for someone to glue an API onto a product and call it AI. We are looking for someone who wants to build real agent systems, understand how they behave in the wild, and use that understanding to make bold product and architecture decisions.
This role is based in New York, NY, in person 5 days per week.
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