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Senior Software Engineer

Draper, UT (Hybrid)

Who we are

SeekWell is the parent company of 1-800 Contacts, Luna, and The Framery. Our goal is to make it simpler, easier, and more accessible for people to get the vision care they need. We maintain the legendary, award-winning culture 1-800 Contacts started almost 30 years ago and continue to develop innovative, pioneering products and businesses that make consumers cheer and optometrists squirm. We’re owned by KKR – one of the world’s largest and most successful private equity investment companies. We’ve built an excellent company and changed an industry by putting the customer first, always. The best is yet to come!

Why you want this job

As a Software Engineer, you will take the lead on designing and building AI-integrated, scalable systems. You’ll help us consolidate multiple AI implementations into a unified platform and collaborate across product, architecture, and compliance teams to ensure performance, accuracy, and business impact. 

What you’ll do

  • Design and implement scalable, secure APIs and event-driven systems that will be used across multiple teams.
  • Integrate and optimize AI models for extracting structured data from a variety of document types.
  • Collaborate on AI experimentation: A/B testing, prompt engineering, and accuracy tuning.
  • Build production observability and performance monitoring for AI outputs.
  • Partner with stakeholders to define rollout processes, success metrics, and cost-performance tradeoffs.
  • Foster a culture of innovation and operational excellence across the organization. 

What you'll need

  • B.S. in Computer Science or equivalent experience
  • 8+ years of C# experience in backend software engineering
  • 2+ years of AWS experience
  • Experience building RESTful APIs, microservices, and CI/CD pipelines
  • Understanding of A/B testing, accuracy measurement, and cost-performance optimization for AI pipelines
  • Hands-on experience integrating AI/ML models into production systems, especially for text extraction from images or documents is a plus 

What success looks like: 

  • Deliver baseline performance monitoring, hallucination detection, and cost tracking 
  • Establish a reliable, scalable AI interface for multiple use cases (storefronts, backend, compliance)
  • Contribute to roadmap for expanding into glasses and reducing customer friction
  • Expand the use of AI services within the company 

Work Environment & Perks: 

  • Hybrid schedule – typically 1–2 days/week onsite in Draper, UT
  • On-call rotation to support 24/7 systems
  • Comprehensive benefits (401(k) match, eye exams, healthcare, PTO, tuition reimbursement)
  • In-house restaurant, gym, and free snacks
  • Work with a high-impact team focused on transforming the future of vision care with AI 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#LI-Hybrid

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Beginner: Basic knowledge; small projects or coursework.

Intermediate: Built services or applications using C#; familiar with .NET ecosystem.

Advanced: Designed and optimized backend systems, APIs, or microservices in C#.

Expert: Architected large-scale C# systems, led design decisions, mentored others, and ensured best practices across teams.

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None: No direct production experience.

Foundational: Used pre-built models or APIs (e.g., OpenAI, AWS Rekognition) for simple tasks.

Intermediate: Integrated models into production workflows with some tuning or prompt engineering.

Advanced: Built or deployed AI pipelines with monitoring, accuracy measurement, or cost optimization.

Expert: Architected scalable AI systems, handled hallucination detection, quality gating, or model lifecycle management.

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Beginner: Familiar with basic services (EC2, S3, Lambda).

Intermediate: Built and deployed applications using multiple AWS services, comfortable with IAM and networking basics.

Advanced: Architected scalable systems using AWS services, CI/CD, serverless, or event-driven patterns.

Expert: Designed complex AWS architectures at scale, cost-optimized environments, implemented observability/monitoring at the platform level.

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Basic Understanding: Familiar with concepts like queues or messaging.

Working Experience: Built features or services using event-driven patterns.

Advanced: Designed event-driven pipelines or microservices with reliability and scaling in mind.

Expert: Architected organization-wide event-driven platforms, ensuring observability, fault tolerance, and performance.

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