Stealth Startup - AI Engineering
Technical Co-Founder, CTO
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Technical Co-Founder, CTO
Technical Co-Founder, CTO
We are seeking an exceptional Europe-based Technical Co-Founder/CTO for an early-stage B2B AI engineering software venture. The project lies at the intersection of:
- Enterprise data infrastructure
- Applied AI
- Knowledge systems
- Computational Aerospace Engineering (CAE)
The immediate focus is hands-on: you will build the MVP end-to-end, owning architecture, coding, deployment, and technical delivery before growing the engineering team.
Profile Requirements
We are looking for someone with strong experience across several key areas:
Applied AI Systems
- Production-grade LLM applications
- Retrieval-Augmented Generation (RAG)
- Agentic workflows
- Semantic search
- Embeddings
- Evaluation techniques
- Source-grounded outputs
Knowledge & Data Modelling
- Knowledge graphs
- Metadata models
- Ontologies
- Entity resolution
- Lineage tracking
- Relationship-based knowledge retrieval
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Data Infrastructure
- Backend architecture
- Ingestion pipelines
- Indexing
- Storage systems
- Distributed processing
- Scalable data platforms
Complex Data Ingestion
- Extraction and structuring of data from:
- Heterogeneous files
- Documents
- Technical formats
- Logs
- Large datasets
Enterprise Deployment
- Private cloud, VPC, or on-premise solutions
- Air-gapped environments
- Containerized deployment
- Identity & Access Management (IAM)
- Observability & auditability
Security & Data Governance
- Role-based access control
- Permission-aware retrieval
- Data encryption
- Tenant isolation
- Enterprise-grade security
- Source traceability
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Zero-to-One Execution
Must demonstrate experience in:
- Building and shipping a full-fledged product/platform from scratch (not prototypes or research projects).
- Taking hands-on ownership of architecture, coding, and deployment.
Key Soft Skills
- Comfortable leading technical delivery during early-stage development.
- Ability to make pragmatic build vs. buy decisions.
- Experience in recruiting and growing technical teams.
Preferred but Not Essential
Experience with:
- High-Performance Computing (HPC)
- CAE, CAD, or physics engineering
- Simulation/analysis data
- Product Lifecycle Management (PLM) systems
- Industrial workflow automation
What matters more: Tangible evidence of building and shipping complex systems across the lines above.
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