Staff Software Engineer

About the Role

Thomasnet, part of Xometry, is the industrial platform where millions of buyers find and source from North American manufacturers and suppliers.

We are seeking a Staff Software Engineer to join Thomas engineering. As a senior individual contributor, you will guide software implementation across several engineering teams and influence decisions across our technology organization. Thomas is moving from a traditional supplier directory to AI-assisted sourcing, and you will set technical direction for the shared systems and AI infrastructure that this shift depends on, while staying hands-on in the code.

How You'll Contribute

• Hands-on technical leadership: Write and review architectural plans for new projects, then participate in implementation with the teams.
• Guide innovation: Champion a good mix of proven and cutting-edge technologies and methods. Know when to change course and when to double down on what already works, including how we adopt AI across the platform.
• Teaching and mentorship: Serve as a mentor and guide to engineers across the organization, helping them grow their skills.
• Code review: Do code review and mentor others across the org to perform good code reviews.
• Operational excellence: Deliver reliable, high-quality software that exceeds customer expectations and aligns with business timelines.
• Collaborative strategy: Build strong partnerships with product managers, designers, and leadership to promote open communication, strong collaboration, and high standards.

What You'll Bring

• 7+ years of professional software development experience, with a track record of owning outcomes, setting technical direction across teams, mentoring engineers at all levels, and influencing product and business decisions.
• Strong full-stack engineering skills that are transferable to our stack: backend services in TypeScript and Node.js with GraphQL APIs, a React and Next.js frontend, PostgreSQL and analytical data stores, and search such as OpenSearch, at production scale. Comparable experience in another modern stack counts just as much; prior experience with our exact tools is not required.
• Hands-on experience with the engineering behind AI products: LLM applications, retrieval-augmented generation, vector search, or embedding models. We hire AI-native engineers who build with these tools and judge their output rigorously, whatever the specific frameworks.
• Depth in areas our platform is growing into, such as multimodal (image and text) embeddings and search, agent orchestration frameworks (e.g. LangGraph, LangChain), model fine-tuning and adaptation, with deep learning frameworks such as PyTorch or TensorFlow.
• A fast learner with high agency who works fluently in an AI-native development environment and shares what they learn.
• Marketplace or multi-sided platform experience is highly desirable, with an understanding of scaling shared platforms.
• Excellent communication and collaboration, comfortable engaging with both technical and non-technical stakeholders, from junior ICs to executives.