Technical Search & Talent Architecture
Opsidian.co — Technical Search & Talent Architecture for High-Growth AI, Autonomous Systems, SaaS & Cloud. We combine domain fluency with structured search to land the talent generalist recruiters miss.
Specialized Expertise & Domain Fluency
- We’ve engaged deeply with ML/AI platforms, autonomy stacks, simulation/digital-twin (Unity, QEMU), and cloud/SaaS infra.
- Evaluate beyond keywords: e.g., founding engineer for digital-twin simulation; LLM/RAG/agent-centric engineer; cloud-native infra lead for SaaS/AI.
Niche Network + Hard-to-Reach Talent
- Open-source contributors, simulation engineers, early-career data engineers with agentic-AI side projects.
- Passive, high-value candidates in frontier verticals.
Strategic, Consultant-Style Recruiting
- Talent maps, structured pipelines, outreach strategies.
- Scoring rubrics, contextual snapshots, outreach templates.
- Clean contract frameworks: master-contingency, W-9s, replacement guarantees.
Flexibility & Scalability
- Contingency, retained, ad-hoc sprints, or ongoing recruiting-ops.
- Acts as an extension of your internal team without fixed overhead.
Credibility in High-Demand Fields
- AI/ML, agentic systems, autonomy & simulation, SaaS/Cloud.
- Speak the tech, understand the product & roadmap context.
Example Roles
- Founding/Staff ML Engineer (LLM/RAG/agents)
- Autonomy & Simulation Engineer (Unity/QEMU, HIL/SIL)
- Founding Engineer — Digital-Twin Simulation
- Cloud-Native Infrastructure Lead (SaaS/AI)
- Data Platform / MLOps / Platform Engineer
- Security/Compliance for SaaS & AI platforms
Engagement Models
- Contingency / Retained
- Ad-hoc Search Sprints (4–8 weeks)
- Recruiting-Ops (ongoing pipelines, process, tooling)