Product Engineer: AI Talent Agent Platform

Dex

Greater London

On-site

GBP 90,000 - 120,000

Full time

12 hours ago
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Job summary

Dex is seeking a second Product Engineer for its AI agent platform. You will own the Talent Agent Engine and the control plane, delivering production-grade AI for high-stakes hiring.

You will ship agents end-to-end, improve live systems, and shape the voice pipeline for Interview Agent while collaborating with Scoring and Candidate Agents. You value reliability, measurable outcomes, and continuous learning.

Qualifications

  • Shipped AI agents in production with scalable failure handling.
  • Experience with agentic stack and orchestration.
  • Designed memory models, retries, observability, and evaluation pipelines.
  • Full-stack exposure: UI, edge functions, and storage.
  • Proactive shipping mindset with prototyping and benchmarking.

Responsibilities

  • Own the Talent Agent Engine: the orchestration layer for intent classification, context loading, routing, tool use, and validation.
  • Ship new agents from roadmap to production, and continuously improve existing ones.
  • Build the Studio control plane for agent configuration, experimentation, and feedback loops.
  • Shape the voice pipeline for an Interview Agent currently in active build, alongside live Scoring and Candidate Agents.
  • Engineer for high-stakes workflows where 'looks right' isn't enough; focus on reliability and measurable outcomes.

Skills

Production AI agents
Agent orchestration
Memory design & retries
Observability instrumentation
Full-stack development
Prototype & benchmarking

Tools

Orchestration frameworks
UI development
Edge functions

Job description

Dex is seeking a second Product Engineer for its AI agent platform. You will own the Talent Agent Engine and the control plane, delivering production-grade AI for high-stakes hiring.

You will ship agents end-to-end, improve live systems, and shape the voice pipeline for Interview Agent while collaborating with Scoring and Candidate Agents. You value reliability, measurable outcomes, and continuous learning.

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