A

Axion

AI-powered quality control for defect detection

Senior/Staff Software Engineer - AI Insights

Full-Time
$220k - $280k/yr+ Equity
Senior
San Francisco, CA, USA+1 moreMore locations: New York, NY, USA
Hybrid
Software EngineeringAI Application Engineering, Backend Engineering

About the job

Requirements
  • At least 5 years of experience building and operating production backend or data-intensive systems.
  • Production experience with large language model (LLM) systems, including multi-step, tool-using, or agentic workflows.
  • Experience measuring and improving model quality through evaluations, prompting, fine-tuning, or a combination of these approaches.
  • Experience designing distributed systems, asynchronous workflows, and reliable data-processing services.
  • Working knowledge of data warehousing, ideally applied to versioned datasets, lineage, or feedback capture.
  • Experience running containerized applications on a major cloud platform such as AWS, GCP, or Azure.
Responsibilities
  • Architect and operate multi-step, tool-using agentic pipelines that convert unstructured data into reliable structured output.
  • Build evaluation frameworks, golden datasets, and feedback loops that measure quality and catch regressions.
  • Improve model performance through prompt and pipeline optimization, model selection, and fine-tuning where it is beneficial.
  • Own the reliability of cloud-native services, including deployment, observability, scalability, and on-call support.
  • Mentor engineers and lead cross-team technical initiatives from design through production.
  • Design and build scalable agentic systems, backend services, and data-processing workflows that transform complex, unstructured customer data into reliable, structured outputs.
  • Help shape the architecture of APIs, databases, cloud infrastructure, and LLM-powered and agentic systems while improving reliability, observability, and performance.
  • Translate ambiguous business needs into clear technical direction and lead foundational decisions that scale with the company.
Desired Qualifications
  • Experience with fine-tuning or distillation, including SFT, LoRA, or provider tuning APIs.
  • Experience with LLM observability and cost or latency optimization.

About the company

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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Simplify's Take

What believers are saying

  • Axion raised $37 million on December 15, 2025, backing aggressive product expansion.
  • Its August 21, 2026 website still markets proactive recall prevention, signaling active go-to-market momentum.
  • Revelio estimates 402 employees in March 2026, showing scale without obvious collapse or retrenchment.

What critics are saying

  • Axion depends on manufacturers sharing sensitive failure data; one breach kills trust instantly.
  • Salesforce Data 360 integrations invite commoditization by Salesforce native analytics and Service Cloud partners.
  • If major OEMs delay renewals after pilots, Axion’s recall-prevention ROI story collapses by 2027.

What makes Axion unique

  • Axion turns unstructured service, telemetry, and field data into early quality signals.
  • Its 2025 Salesforce Ventures Series B deepens workflow distribution inside Salesforce ecosystems.
  • Public customer naming spans Boeing, Medtronic, Cummins, Daikin, Harley-Davidson, and SharkNinja.

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Benefits

  • Hybrid Work Options
  • Paid Vacation
  • Company Equity
  • Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

4%

2 year growth

17%
FinSMEs
Mar 12th, 2024
Axion Ray Announces $17.5M in Series A Funding

Axion Ray, a NYC-based provider of an AI-powered observability command center, raised $12.5M in Series A funding.

TechCrunch
Mar 12th, 2024
Axion Ray's AI attempts to detect product flaws to prevent recalls

Axion Ray, valued at $100 million, today announced that it raised $17.5 million in a Series A round led by Bessemer Venture Partners with participation from RTX Ventures, Amplo and Inspired Capital.

Yahoo Finance
Mar 12th, 2024
Axion Ray Announces $17.5 Million in Series A Funding Led by Bessemer Venture Partners

Axion Ray announces $17.5 million in Series A funding led by Bessemer Venture Partners.

FinSMEs
Feb 16th, 2023
Axion Ray Raises $7.5M In Seed Funding

Axion Ray, a San Francisco, CA-based provider of an AI product integrity intelligence platform, raised $7.5M in seed funding.The round was led by Amplo and Inspired Capital with participation from Boeing, and Tinicum Venture Partners. Samuel Garcia, Partner at Amplo, will be joining Axion Ray’s board.The company intends to use the funds to hire engineering and artificial intelligence talent.Led by Daniel First, Founder and CEO, Axion Ray is a provider of an AI-powered proactive intelligence platform that extracts actionable insight from unstructured manufacturing data in real time. Its technology flags engineering issues months earlier, allowing companies to intervene on prevent losses from recalls. The company works with manufacturers across industries to surface safety and quality risks mined from service networks, dealerships, connected sensors, production, supplier management, and other data sources.Axion works with OEMs and suppliers across industries. Their customer base includes Boeing, Penn Engineering, Cummins, and other manufacturers across aerospace, defense, automotive, and medical devices.FinSMEs16/02/2023

PR Newswire
Feb 16th, 2023
Axion Ray, the AI Platform for Proactive Engineering Management, Raises $7.5M to Enhance Product Integrity at Scale

Axion Ray, the AI platform transforming product integrity intelligence, today announced a $7.5M Seed round led by Amplo and co-led by Inspired Capital.