Senior AI Systems Engineer - Evaluation & Reliability

ExpertsHub.ai

San Francisco (CA)

Vor Ort

USD 250.000 - 360.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Equity
Medical Insurance
Dental Insurance
Vision Insurance
401(k)
Work-From-Home Stipend
Commuter Transit Benefits

Zusammenfassung

ExpertsHub.ai is seeking an experienced backend engineering leader to own the strategy and infrastructure for evaluating autonomous agents and improving agent accuracy. You will build resilient backend systems for agent execution and evaluation, advancing platform quality and safety.

You will mentor engineers on evaluation and testing standards and drive end-to-end ownership of production AI products in a distributed, high-throughput environment.

Qualifikationen

  • 6–15+ years of software engineering experience building production backend systems and AI-enabled software.
  • End-to-end ownership of production AI products with distributed-systems expertise.
  • Analytical approach to evaluations, error analysis, and resolving agent failures.

Aufgaben

  • Own the strategy and infrastructure for evaluating autonomous agents and improving agent accuracy.
  • Build resilient backend systems for agent execution and evaluation.
  • Mentor engineers on evaluation, testing standards, and reliability practices.

Kenntnisse

Backend Systems Engineering
Distributed Architectures
AI Product Development
Autonomous AI Agents
Agent Knowledge Representations
Evaluation Strategy
Error Analysis
Reliability Engineering
Evaluation Pipelines
High-Throughput Systems
Dynamic Tool Calling
Real-Time Observability
Testing Practices
Mentorship
Technical Ownership

Jobbeschreibung

ExpertsHub.ai is seeking an experienced backend engineering leader to own the strategy and infrastructure for evaluating autonomous agents and improving agent accuracy. You will build resilient backend systems for agent execution and evaluation, advancing platform quality and safety.

You will mentor engineers on evaluation and testing standards and drive end-to-end ownership of production AI products in a distributed, high-throughput environment.

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