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Axion

AI-powered quality control for defect detection

Senior Staff Software Engineer - Agentic Core

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$230k - $300k /yrHybrid

About the Job

Requirements

  • Experience building agentic systems, including large language model orchestration, tool or function calling, multi-step and multi-agent reasoning, retrieval and context engineering, and interoperability protocols such as MCP or comparable work.
  • Demonstrated ability to design and own complex distributed systems, ideally in data-intensive business-to-business software-as-a-service environments.
  • Hands-on fluency with the modern agentic stack and a strong intuition for failure modes in non-deterministic, large-language-model-driven systems, including evaluation and observability practices.
  • Experience turning messy, heterogeneous real-world data into data that a model can reason over reliably.

Responsibilities

  • Own the technical architecture for agentic systems, including orchestration, tool use, memory, retrieval, evaluation, observability, and guardrails that maintain reliability with noisy and incomplete input data.
  • Build and harden the reasoning layer and infrastructure that carry customer data from ingestion through agent-driven reasoning to root-cause insight at the scale and reliability manufacturers require.
  • Establish rigorous evaluation and testing for non-deterministic systems by measuring agent accuracy against expert-validated ground truth and customer outcomes, including detection rates, investigation speed, and warranty cost.
  • Mentor engineers on agentic patterns and system design, unblock difficult problems, and share context.

Desired Qualifications

  • Experience building complex, data-intensive systems in early-stage companies.
  • Experience with complex distributed systems in data-intensive business-to-business software-as-a-service environments.

About the Company

Axion

AI-powered quality control for defect detection

AxionRay develops AI-powered quality control tools that help engineering teams detect, investigate, and fix quality issues faster. The product automatically identifies and contextualizes emerging issues, then guides teams on countermeasures, reducing downtime and warranty/service costs while boosting customer satisfaction. It works by monitoring data across projects to spot trends, alerting and contextualizing problems, and enabling collaboration across regions and departments to resolve issues efficiently. The company differentiates itself by combining real-time trend detection with contextual issue analysis and cross-team collaboration, focusing on quality assurance and operational efficiency rather than just monitoring. Its goal is to lower the cost of poor quality and improve customer experience by speeding up the detection-to-countermeasure cycle and enabling teams to work together seamlessly.

Company size
201-500
Company stage
Series A
Total funding
$25M
Headquarters
New York City, New York
Founded
2021

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