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Software Engineer, Data Intelligence

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: King River Capital Group
Full Time position
Listed on 2026-09-14
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, Software Architect
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Founded in 2021, Axion is at the forefront of transforming product quality and customer satisfaction in manufacturing. Our cutting-edge AI-powered platform empowers manufacturers to swiftly identify, thoroughly investigate, and effectively resolve quality issues while simultaneously elevating customer experiences and outcomes.

As trailblazers in end-to-end quality intelligence, we're setting new industry standards. Our innovative approach enables industrial, aerospace, consumer, and medtech manufacturers to harness the power of quality and post-market data, driving down costs and boosting business performance.

Our vision extends beyond mere problem-solving; we're committed to reshaping the future of manufacturing. By seamlessly integrating advanced AI technology with deep industry expertise, Axion is paving the way for smarter, safer, and more efficient production processes across diverse sectors.

Backed by leading investors, including Bessemer Venture Partners, Amplo, Boeing, and RTX Ventures, Axion is poised to lead the quality revolution in manufacturing.

About the Role:

We’re hiring for a Staff Software Engineer to help lead our agile, fast-moving backend teams. In this role, you’ll design and build scalable agentic systems, backend services and data-processing workflows that transform complex, unstructured customer data into reliable, structured outputs. . You’ll help shape the architecture of our APIs, databases, cloud infrastructure, and LLM-powered and agentic systems while improving their reliability, observability, and performance.

Working closely with engineering, product, and customer-facing teams, you’ll translate ambiguous business needs into clear technical direction and lead foundational decisions that scale with the company. This is a high-impact opportunity to shape the company’s technical strategy and make foundational decisions that will scale with us.

Key Responsibilities:
  • Design and evolve scalable AI powered systems that move, transform, and enrich data across products
  • Partner with product, engineering, and customer-facing teams to translate business needs into scalable technical solutions
  • Own the reliability and delivery of cloud-native services, including deployment, observability, scalability, and production support
  • Mentor engineers and lead cross-team technical initiatives from architecture through production
Requirements:
  • 8+ years of professional software engineering experience, including building and operating production backend or data-intensive systems
  • Strong knowledge of data warehousing concepts
  • Experience designing distributed systems, asynchronous workflows, and reliable data-processing services
  • Experience deploying and operating containerized applications on a major cloud platform
Bonus Points:
  • Experience building production LLM systems, including multi-step, tool-using, or agentic workflows.
  • Experience with a growing company
  • Experience specifically with GCP and Datadog
Who You Are:

You’re a builder and operator who thrives in fast-moving, high-accountability environments. You take pride in getting things done — thoughtfully, efficiently, and without drama. You’re energized by ambiguity, skilled at bringing clarity, and comfortable flexing between strategy and execution.

You value feedback — giving it, receiving it, and acting on it — and you see collaboration as a competitive advantage, not a burden. You’re low-ego but high-agency: you care about winning as a team more than being right individually. You move quickly, communicate directly, and make decisions grounded in impact and data.

You don’t need constant direction — you create momentum. You take ownership for outcomes, and you expect the same from those around you.

How We Operate:

We move fast, work smart, and…

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