Agentic AI Engineer — Deccan AI

Founding Engineer @ Trellis (YC W23)

Discovered: Selected by local fallback after the model rerank timed out. Review the evidence carefully before treating the match score as final.

Interest: The candidate shows high genuine interest through specific questions tailored to the role's challenges, positive affirmations of fit, and immediate availability for further discussions. They are actively in the market and seeking exactly the kind of production AI engineering work described. While they have a question about roadmap stability, they are still eager to proceed with a technical intro. This suggests the candidate is seriously considering the opportunity and is a strong potential fit.

Staff Software Engineer @ Archetype AI

Discovered: Selected by local fallback after the model rerank timed out. Review the evidence carefully before treating the match score as final.

Interest: The candidate shows moderate to high genuine interest by asking targeted questions about production vs prototype work, eval loops, and technical depth that align closely with the role. She is not actively looking but finds the opportunity appealing enough to schedule an intro call next week if provided a brief. This indicates thoughtful engagement rather than passive politeness, though her conditional commitment and stated lack of desperation suggest she will need strong evidence of engineering-led work to proceed further.

Applied ML Engineer @ Mercury

Discovered: Selected by local fallback after the model rerank timed out. Review the evidence carefully before treating the match score as final.

Interest: The candidate demonstrates genuine interest through targeted questions on agent types, technical depth, and production vs prototype work that map closely to the role. They commit to a next-step call but condition it on receiving a brief and note they are not desperate to leave. This suggests moderate interest from a passive but selective candidate whose values align with the production-focused requirements. Overall the engagement feels authentic but not highly urgent.

Senior AI Engineer @ Replit

Discovered: Selected by local fallback after the model rerank timed out. Review the evidence carefully before treating the match score as final.

Interest: The candidate shows clear interest through targeted questions on agent workflows, technical depth, engineering vs prototype work, and eval loops that directly map to the role's must-haves and success criteria. They surface objections productively and commit to an intro call next week, indicating moderate-to-high genuine interest rather than polite deflection. However the explicit note about not being desperate to leave signals they are passively open and will need strong evidence of reliability focus and autonomy to convert. Overall this is a solid but conditional prospect who is evaluating fit carefully.

Senior Backend Engineer @ PostHog

Discovered: Selected by local fallback after the model rerank timed out. Review the evidence carefully before treating the match score as final.

Interest: The candidate demonstrates genuine but measured interest by asking targeted questions about agent types, technical depth, engineering ownership, and eval loops that map well to the role's production AI focus. However, statements about not being desperate to leave and requiring a technical brief before committing indicate passive candidacy rather than high enthusiasm or active search. Objections were surfaced productively and not brushed aside, leading to a conditional forward step. Overall interest level is solid for a senior profile with relevant background but carries risk of low urgency to move.

Senior Frontend Engineer @ Prism Labs

Discovered: Selected by local fallback after the model rerank timed out. Review the evidence carefully before treating the match score as final.

Interest: The candidate displays high genuine interest by asking specific questions about ownership, evals, agent loops, and roadmap while repeatedly affirming alignment with production-focused work. He is actively interviewing and immediately available this week, showing clear forward momentum toward next steps. Concerns are surfaced constructively rather than as blockers. Overall this is a strong interest level with good motivation fit for the agentic AI role.

Senior Staff Machine Learning Engineer, Agent Systems @ Anthropic

Discovered: Selected by local fallback after the model rerank timed out. Review the evidence carefully before treating the match score as final.

Interest: The candidate exhibits low genuine interest, responding politely but passively throughout. She repeatedly notes being happy at Anthropic and needing a very specific reason to consider anything else without asking questions or engaging the role's described problems. No substantive next steps are embraced beyond receiving a summary and keeping in touch. This profile fits someone not actively on the market and only mildly open to outreach.

Principal ML Scientist @ Google

Discovered: Selected by local fallback after the model rerank timed out. Review the evidence carefully before treating the match score as final.

Interest: The candidate demonstrates low genuine interest overall. They are not actively looking and repeatedly emphasize the need for leadership scope and team-building, which directly conflicts with the hands-on IC nature of the role. While they surface clear objections and agree to an intro with heavy qualifications, they conclude they are probably not the right target. This suggests the conversation is exploratory at best with high risk of dropping off.