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AI/ML 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.

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 an early technical leader at Tektonic AI, you will have considerable influence over building our platform and applications from the ground up. You will collaborate closely with the founders and directors to define our AI architecture, implement models and algorithms, and validate critical technical milestones. This is a unique opportunity to shape the technology strategy of a well-funded stealth startup poised to disrupt enterprise software.

Responsibilities

• Prototype AI/ML solutions, including pipelines, models, architectures
  
• Design and develop the Large Language Model (LLM) production stack, including embedding creation and storage, proprietary fine-tuned LLM models, prompting strategies 
  
• Drive data analysis, feature engineering, and model training/evaluation
  
• Implement platform APIs and services for internal and external consumption
  
• Collaborate with the founding team on product requirements, technical feasibility, and project planning
  
• Mentor and grow our technical team
  
• Stay up-to-date on the latest advances in AI/ML and identify opportunities for our platform
  

Qualifications

• 5+ years or Ph.D. with 2+ years of industry experience designing and implementing AI/ML systems at scale, handling data for AI/ML and AI/ML production pipelines (“MLOps.”) Familiarity with security and authorization models is preferred but not required
  
• Expertise in modern deep learning frameworks (e.g. PyTorch)
  
• Experience with and up-to-date knowledge of large language models. Hands-on experience with prompt engineering, fine-tuning, training, and knowledge graphs is a plus
  
• 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. You may be the right candidate for this or other roles within the broader MVL portfolio.

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.