Senior​/Software Engineer, AI Insights

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.

We’re hiring for a Senior or 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

• 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 pays off

• Own the reliability of cloud-native services: deployment, observability, scalability, and on-call support

• Mentor engineers and lead cross-team technical initiatives from design through production

• 5+ years building and operating production backend or data-intensive systems

• Production experience with LLM systems, including multi-step, tool-using, or agentic workflows

• Experience measuring and improving model quality, through evals, prompting, fine-tuning, or a mix

• 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 ([AWS/GCP/Azure])

• Fine-tuning or distillation experience (SFT, LoRA, or provider tuning APIs)

• Experience with LLM observability and cost/latency optimization

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…