1. Indexing technical proof
Candidate profiles: declared stack, GitHub repos, papers, contributions, Ganloss test results (LLM, RAG, MLOps).
Recruiters filter by skills and review deliverables before outreach — not after three interviews.
Shipped work beats CV keywords — how Ganloss qualifies mid and senior AI profiles.
Recruiter guide · matching on shipped projects

GenAI tooling for podcast creators — Boston tech hub.

Kernel and inference optimizations for LLM serving — Austin AI research lab.

Real-time voice agents and telephony LLM integrations — Denver engineering office.

Second Glean hub role — retrieval quality and agent tools for enterprise search.

3D perception and sensor fusion for autonomous vehicles — Mountain View HQ.

Bot detection and LLM abuse prevention at the edge — US remote.

Inference and fine-tuning on Cloudflare Workers AI — Austin engineering hub.

Managed GenAI features on Atlas — fully remote US ML platform team.

Atlas Vector Search and GenAI developer experience — NYC product engineering.

Build LLM tracing, eval, and cost monitoring products for Datadog customers.

Model deployment and monitoring for Einstein platform services — Seattle hub.

Agentforce and Einstein GPT features for CRM workflows at Salesforce Tower.
Candidate profiles: declared stack, GitHub repos, papers, contributions, Ganloss test results (LLM, RAG, MLOps).
Recruiters filter by skills and review deliverables before outreach — not after three interviews.
Structured JobPosting listings, salary shown, explicit stack — typically indexed within 24 hours.
Active candidates get recommendations based on their projects and your job description.