Forward Deployed Engineer

Excerpt from the original posting

Who are we?
Newcode helps legal organizations build, govern, and deploy AI workflows connected to their knowledge and existing systems. Our Aurora workflow platform enables teams to turn firm expertise into repeatable workflows that operate within the firm’s technology environment.

The role
You'll own the backend behind our AI features. That's the APIs, the data pipelines, and the orchestration sitting between our product and the language models doing the work. In practice it means running retrieval over large sets of documents, getting dependable results out of LLMs and their tool calls, streaming responses to the UI, and processing long jobs in the background without things falling over. 

It isn't CRUD work. The hard parts here are keeping AI systems accurate and fast with confidential data, at production scale. You'll make architecture calls early and live with them.

Turn how legal work gets done into AI workflows lawyers trust 
Newcode helps legal organizations build, govern, and deploy AI workflows connected to their knowledge and existing systems. Our Aurora workflow platform enables teams to turn firm expertise into repeatable workflows that operate within the firm's technology environment.
Our clients are law firms and professional-services teams. They know exactly where their work is slow, repetitive, or risky. What they don't know is how to turn that into an AI workflow they can trust with real client work. We are hiring a Forward Deployed Engineer to do exactly that. This role reports to the Head of Forward Deployed Engineering.
The Opportunity
You'll work directly with clients to understand how their work actually gets done, and then build it in Aurora, our visual AI workflow builder. Aurora is low-code. You design flows by connecting components on a canvas, configure the models, prompts, document search, and integrations, and write a short script where the canvas stops.
The hard part isn't the code. It's understanding a messy process well enough to break it into steps a model can do reliably, seeing where it will fail before it does, and showing a skeptical partner at a law firm that it works.
This role rewards judgment and engineering discipline more than seniority. We care more about how you think than how many years you've written code. You need to be comfortable with hands-on technical work. For example, you can read API documentation to connect two systems, edit JSON files, write a short Python function when the canvas is not enough, a…

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