Developer / Solutions Architects (Co-Founder & Head of Engine)
Vor 7 Tagen
We're building an AI-powered Bayesian Decision Dashboard that helps founders and investors make smarter, data-driven choices about growth, fundraising, and scaling strategy.
Our system blends Bayesian inference, adaptive AI, and domain expertise to simulate "what-if" business scenarios, quantify risk, and deliver actionable advisory insights — the decision-making assistant every startup leader wishes they had.
We're at the MVP stage, prototyping the Bayesian core, priors library, and simulation engine. The next step: develop a scalable architecture that connects founder data, advisor priors, and AI-generated recommendations.
Role: Co-Founder / Technical Lead
We're looking for a hands-on technical co-founder to architect, prototype, and scale our core platform.
You'll own the engineering vision — from Bayesian inference modules to lightweight LLM integrations (via Bedrock / OpenAI), and the founder-facing dashboard.
You'll work on:
- Designing the Bayesian reasoning engine (priors, posteriors, and simulation logic).
- Building the data intake layer (CSV / Streamlit / API integrations).
- Developing the decision simulator and visualization dashboard.
- Integrating optional LLM summarization for advisory outputs.
- Shaping the technical roadmap toward product-market fit and investor readiness.
Ideal Background
- 5+ years experience as developer, ML engineer, or solutions architect.
- Strong Python + data stack (NumPy, pandas, PyMC / Stan / similar).
- Familiarity with Bayesian methods or probabilistic reasoning.
- Postgres plus column/NoSQL; Kafka/eventing; cac
- Experience deploying early-stage products (Streamlit, Dash, React, or FastAPI).
- Passion for decision science, startup strategy, or AI for business reasoning.
What's in it for you
- Co-founder equity + leadership role.
- Work directly with founders, investors, and advisors shaping early-stage ecosystems.
- Ownership from day one — from prototype to Series A.
Job Types: Part-time, New-Grad, Permanent
Work Location: Hybrid remote in Wien, W
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