Machine Learning / Deep Learning Engineer (Edge AI preferred) – Quirinus
Location: Switzerland / Geneva
Stage
:
Pre-Seed
Job Type: Founder role, Equity included
Industry: Digital Investigations, Privacy-Tech, AI
About Quirinus
Quirinus is building a privacy-first investigation platform powered by Edge AI.
We aim to redefine how investigators, analysts, and risk professionals work with sensitive data: entity graphs, case timelines, AI-assisted reasoning, and structured evidence — without exposing confidential information to the cloud.
We are currently pre-seed and preparing for our first institutional raise.
To get there, we need a CTO who can own the technical vision, shape the architecture, and co-build the roadmap that unlocks funding.
You will join as co-founder, owning the technical direction of the company.
Your initial mission is to shape and validate the product roadmap, technical architecture, and feasibility of Quirinus' core differentiator: a fully local AI investigation engine.
As CTO, you will collaborate directly with the founder to prepare the technical narrative for investors and design an achievable, defensible plan for the first 12–24 months.
This is an opportunity to build a company from the ground up.
Responsibilities
* Define and own the technical vision of Quirinus
* Build the product and technical roadmap required for pre-seed fundraising
* Design the architecture of an offline-first investigation platform
* Develop and test early prototypes: local inference, small language models, on-device reasoning, RAG pipelines
* Evaluate hardware options for fully local deployments
* Implement model optimization strategies
* Ensure reliability, safety, and controllability of AI in investigation workflows (hallucination-reduction, grounding, reasoning steps)
* Participate in investor conversations regarding the technical strategy
* Recruit early engineers as the company grows
Required Skills
* Strong experience in Machine Learning / Deep Learning
* Proven ability to optimize models for constrained environments
* Experience building inference pipelines end-to-end
* Ability to evaluate trade-offs between accuracy, latency, RAM, quantization levels, and deployment constraints
* Strong engineering fundamentals, especially in performance, reliability, and systems design
* Comfortable building early prototypes independently
Nice-to-Have
* Experience with graph databases (Neo4j, Memgraph, ArangoDB)
* Familiarity with OSINT, digital investigations, compliance, or risk analysis
* Understanding of local-first or privacy-first architectures (E2EE, zero-trust, enclaves)
What We Offer
* Co-Founder status + equity proportional to involvement and contribution
* Ability to work on a high-impact product with real societal value
* Ownership of the entire technical vision of the company
* Flexibility in how and where you work