AI Solutions Engineer
💰 $130,000 – $175,000/yr
At a glance
- Who can apply
- United States
- Work arrangement
- Remote · USA
- Employment type
- Full-time
- Salary
- $130,000 – $175,000/yr · published by the employer
- ✓ Open to early-career candidates
Checked against the employer's source on October 20, 2026. Details come from the employer's posting; confirm them on the application page.
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Job Description
About Livefront
Livefront helps companies design and build world-class digital products that inspire joy and command attention. We've partnered with household names like CVS, Samsung, General Mills, and Optum, as well as innovative startups like HomeSpotter and Credly.
Who You Are
You're a thoughtful, creative problem-solving engineer who thrives at the intersection of cutting-edge technology and real-world impact. With deep experience in AI, LLMs, RAG-based architectures, and machine learning, you have an impeccable intuition for turning emerging capabilities into innovative, practical solutions. You're equally adept at rapidly prototyping ideas in R&D sprints as you are at shipping robust, scalable code to production. You articulate complex technical requirements clearly to internal teams and confidently engage in strategic discussions with clients. Your engineering principles are mature yet adaptable, shaped by continuous learning and collaboration. You're curious and pragmatic, driven by craft to build intelligent systems that are intuitive, performant, and thoughtfully designed.
What You Will Be Doing
- Work closely with clients to understand business goals around AI implementation, present sustainable technical solutions, and adjust strategies based on feedback
- Guide and mentor engineering teams with your AI expertise, both internally and with clients, by setting technical standards and conducting code reviews
- Engage in technical spikes to explore new technologies and methods
- Lead the design of robust architectures tailored to client needs and implement solutions hands-on, ensuring scalability and maintainability
- Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure for seamless system communication
- Optimize performance and ensure AI models are useful, scalable, and maintainable
- Adapt your skills across diverse projects, including API design, technical support, and DevOps
- Collaborate cross-functionally with backend, frontend, design, and other teams
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