Senior AI Platform Engineer
Evidence: LLM, infra, Tokyo, API scale
CmdHire instantly matches the candidate on screen with your active jobs, explains why they fit, and prepares your next move.
Not an ATS. CmdHire works alongside Greenhouse, Lever, and the system you already use. No migration required.
Evidence: LLM, infra, Tokyo, API scale
Check: Rust depth and recent production scope
Adjacent signals, needs recruiter judgment
Best next move: verify Kubernetes ownership, LLM serving scale, and Tokyo availability. Then draft client-ready outreach.
While a candidate profile is open, CmdHire keeps the context in view, compares it with every active job, and helps the recruiter take the right next step without losing momentum.
Staff AI Platform Engineer - Tokyo / Hybrid
LLM, Kubernetes, Tokyo, backend systems
Systems depth present; confirm Rust ownership
Keep the active profile in memory, save the useful record, and generate the client-ready step from the same context.
CmdHire keeps the profile, job fit, gaps, and next message in one place so recruiters can act while the candidate is still warm.
Open a LinkedIn profile and CmdHire keeps the relevant candidate context ready for chat, matching, and saving.
Match Radar ranks active jobs by evidence, not vibes, so recruiters can defend why a profile belongs on a shortlist.
Save the candidate once, then find them later by skill, location, role, client, note, or weird half-memory.
Draft outreach, screening questions, and submission notes from the actual candidate and job context.
CmdHire is not trying to replace the ATS. It is the fast command layer recruiters use while sourcing, screening, and preparing candidates for clients.
CmdHire captures the active page context when summoned.
Match Radar compares the candidate against active roles and shows why.
Save the candidate, draft outreach, prep questions, or build a submission packet.
Candidate and job records live in an app-managed local database on the recruiter's machine.
Use local LLMs through Ollama, remote APIs where approved, or offline heuristics for basic workflows.
Greenhouse and Lever workflows anchor the first agency integrations without forcing manual API setup.
Which jobs match this candidate, ranked by role evidence.
What to verify before you pitch them to a client.
A message that references the actual profile and role.
A saved candidate record you can rediscover later.
Our new evidence-led brief examines Japan's agency footprint, placement economics, labor scarcity, foreign talent, and what these shifts mean for recruitment leaders.
Best fit: recruiting agencies with active roles, repeat sourcing workflows, and recruiters who live in LinkedIn plus Greenhouse, Lever, CSVs, or local notes.