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Senior AI Native Engineer

Guild

Denver, Colorado, United StatesOn Site

Original Job Summary

Overview

At Guild, we believe talent is everywhere and that opportunity should be too. We are headquartered in Denver and operate a distributed model across many U.S. states.

Position Details

The Senior AI Native Engineer will join the AI Native Experiences team to design and implement AI-powered user interfaces on Guild’s platform. In this role, you will build intelligent and dynamic features such as summarization, personalization, semantic search, and classification, ensuring real-time and context-aware interactions.

Responsibilities

  • Develop user-facing experiences powered by AI functionality.
  • Create reusable components for embedding AI into frontends.
  • Collaborate with MLOps and design teams on model interfaces and API integrations.
  • Integrate and monitor third-party AI services ensuring reliability and performance.
  • Champion responsible AI practices and share expertise with peers.
  • Prototype, deploy, and iterate on AI-powered features.

Qualifications

  • 8+ years in software development (frontend or full-stack).
  • Expertise in modern web technologies (React, TypeScript) and backend services (REST/GraphQL).
  • Proven experience integrating AI/ML models or services into production applications.
  • Strong background in NLP, recommender systems, and generative AI.
  • Ability to design reusable systems and components.
  • Effective collaboration with cross-functional teams.

Additional Information

This role is expected to be onsite in our Denver office two days a week with additional days as needed. Guild is committed to diversity, inclusivity and offers competitive benefits including health care, 401k, generous leave policies, and more.

Key skills/competency

Senior AI Native Engineer, AI, Machine Learning, React, TypeScript, NLP, API Integration, Full-stack, UX, MLOps

How to Get Hired at Guild

🎯 Tips for Getting Hired

  • Research Guild's culture: Study their mission, benefits and values thoroughly.
  • Tailor your resume: Highlight AI and frontend expertise clearly.
  • Showcase relevant projects: Detail AI integrations and scalable systems.
  • Prepare for technical interviews: Practice ML model and API integration questions.
  • Network online: Engage with current employees on professional networks.

📝 Interview Preparation Advice

Technical Preparation

Review React and TypeScript documentation.
Practice API integration and error handling.
Study AI model deployment techniques.
Refresh knowledge on scalable system design.

Behavioral Questions

Describe a challenging team project.
Explain conflict resolution in past roles.
Discuss a time you innovated under pressure.
Detail how you embrace team feedback.