SLM Development
Build and train proprietary small language models on optimization data. Create models that understand decision traces, precedent matching, and context graph reasoning.
Careers
Come help build the
missing decision layer.
Enterprises drown in recommendations. We build the layer that turns context into answers that are optimal within constraints — with the gap shown — and remembers every choice so the next one is smarter.
We're looking for teammates who live between hard math and hard business problems, and who would rather show the math than assert an answer.
careers@dcisionai.com ↗Areas of impact
Where the work is.
Model Finetuning
Fine-tune foundation models for domain-specific optimization challenges. Adapt models to understand industry context, constraints, and decision patterns.
Mathematical Research
Push the boundaries of optimization theory and solver technology. Research new approaches to constraint satisfaction, multi-objective optimization, and optimality analysis.
Design & UX
Design intuitive interfaces for complex optimization problems. Create visualizations for context graphs, decision traces, and optimality results that make enterprise decisions transparent.
Platform Engineering
Build the infrastructure that powers the decision layer. Work on distributed systems, real-time optimization pipelines, and scalable context graph storage.
Customer Success
Help enterprise customers transform their decision-making. Bridge the gap between mathematical optimization and business outcomes, ensuring customers achieve measurable value.
How we work
Five principles.
Working Backwards
We start with the customer and work backwards. Every feature, every decision, begins with understanding what our customers need to win.
First Principles
We break problems down to fundamental truths and build up from there — rigorous thinking that leads to solutions optimal within stated constraints.
Ownership
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.
Continuous Learning
The best decision-makers are perpetual students. We invest in learning, embrace feedback, and build systems that get smarter with every decision trace.
Proof over vibe
Prefer evidence over assertion. Every decision shows its optimality gap. If you can't show the gap, you don't ship the claim.
Come build it
Bring one hard problem.
Tell us what you'd want to work on and why the decision layer is the thing worth building. That's the whole application.
careers@dcisionai.com ↗