Senior AI Native Engineer @ Guild
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Job Details
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.