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Full-Stack Software Engineer

Full-time / Greater Seattle Area / Hybrid

Company information

Enterprise applications are still dominated by line-of-business systems like ERPs, CRMs, SCMs, and HRMs. These systems contain siloed data and isolated functionalities unable to communicate with one another. For years, companies have invested in developing automations and applications to connect siloed systems and improve critical business processes. Progress has been slow and piecemeal.
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Tektonic AI aims to supplant this tangled software ecosystem by creating an enterprise semantic layer, underpinned by large language models, that sits atop core systems and makes data and functions interoperable. The vision is to enable the rapid development of intelligent apps by providing intuitive, semantic access to enterprise data, workflows, and processes. The mission is to reshape enterprise software architecture and become the standard for the next generation of AI-first enterprise applications and automations.

Role description

As one of the early engineers at Tektonic AI, you will be a key part of developing our first products and platform. You will collaborate closely with the founders and the rest of the technical team to define our AI architecture, implement models and algorithms, and validate critical technical milestones. This is a unique opportunity to learn new technologies with direct customer impact, while experiencing what it’s like to contribute at the early stages of a well-funded, Madrona-backed stealth startup poised to disrupt enterprise software.

Responsibilities

• As an early engineering hire, be able and willing to wear many hats and develop across the product life cycle:
  
• • Prototype software components, including services, pipelines, and architectures
  • Design and develop services production stack (full stack), including deploying and serving fine-tuned LLM models, large scale inference, large-scale and enterprise-class storage systems and orchestration components
  • Drive software services and storage architecture
  • Implement platform APIs and services for internal and external consumption
  • Implement engineering practices and CI/CD pipelines
• Collaborate with the founding team on product requirements, technical feasibility, and project planning
  
• Mentor the technical team and assist in our efforts to scale the organization
  
• Stay up-to-date on the latest advances in AI/ML engineering and identify innovation opportunities for our platform 
  

Qualifications

• 5+ years or Ph.D. with 2+ years of industry experience designing and implementing systems at scale, production pipelines. Familiarity with AI/ML and AI/ML production pipelines is preferred but not required
  
• Hands-on expertise in modern development stacks (full-stack) and SaaS technologies
  
• Hands-on experience with prompt engineering, fine-tuning, training, and knowledge graphs is preferred
  
• Entrepreneurial mindset and bias for action
  
• Excellent communication and collaboration skills
  
• BS or advanced degree in Math, Computer Science, or a related field
  
• Located in or willing to move to the Seattle area. Willing to meet and work in a shared space up to 3 days a week
  

Benefits

• Competitive base salary
  
• Equity stake commensurate to being one of the first technical hires
  
• Generous benefits, including unlimited vacation and remote-friendly culture
  

Don’t meet every single requirement listed above? That's ok. If you’re excited about this role and our mission, but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways.

We are an equal-opportunity employer and highly value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.