SLM Development
Build and train proprietary small language models on optimization data. Create models that understand decision traces, precedent matching, and context graph reasoning.
We're building the intelligent decision layer — a platform that captures decision traces, compounds them into a context graph, and returns answers with a proof attached.
It asks for people who are comfortable at the seam between real mathematics and real enterprise problems, and who would rather prove a thing than assert it.
Build and train proprietary small language models on optimization data. Create models that understand decision traces, precedent matching, and context graph reasoning.
Fine-tune foundation models for domain-specific optimization challenges. Adapt models to understand industry context, constraints, and decision patterns.
Push the boundaries of optimization theory and solver technology. Research new approaches to constraint satisfaction, multi-objective optimization, and proof generation.
Design intuitive interfaces for complex optimization problems. Create visualizations for context graphs, decision traces, and mathematical proofs that make enterprise decisions transparent.
Build the infrastructure that powers the decision layer. Work on distributed systems, real-time optimization pipelines, and scalable context graph storage.
Help enterprise customers transform their decision-making. Bridge the gap between mathematical optimization and business outcomes, ensuring customers achieve measurable value.
No posting that fits? We're always looking for exceptional people.
careers@dcisionai.com →Inspired by Jeff Bezos' leadership principles, we start with the customer and work backwards. Every feature, every decision, begins with understanding what our customers need to win.
We break down complex problems to their fundamental truths and build up from there. No assumptions, no shortcuts — just rigorous thinking that leads to mathematically proven solutions.
We think long-term and act on behalf of the entire company. When you own something, you see it through — from conception to execution to impact. We're all owners here.
The best decision-makers are perpetual students. We invest in learning, embrace feedback, and build systems that get smarter with every decision trace we capture.
We believe in provable solutions, not black boxes. Every decision comes with mathematical proof, and every optimization builds our context graph of enterprise intelligence.
Tell us what you'd want to work on and why the decision layer is the thing worth building. That's the whole application.