AI Solutions Engineer
Posted Updated 14
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Summary
An AI Solutions Engineer designs and implements AI-driven architectures (e.g., LLMs, RAG) for clients, bridging technical expertise with business needs. They lead API/data pipeline development, mentor teams, and ensure scalable, ethical AI solutions—balancing R&D with production execution.
At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like CVS, Samsung, General Mills, and Optum create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status quo.
We’re looking for an AI Solutions Engineer to join our team. This is a senior-level position with the opportunity to work remotely in Peru.
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 scrappy R&D sprints as you are at shipping robust, scalable code into production. Navigating both architectural design and hands-on implementation comes naturally to you, and you quickly master unfamiliar technologies. You articulate complex technical requirements clearly to internal teams and confidently engage in strategic discussions with client partners. Your engineering principles are mature yet adaptable, shaped by continuous learning, collaboration, and the evolving technological landscape. You're curious and pragmatic, driven by craft to build intelligent systems that are intuitive, performant, and thoughtfully designed. You're passionate about shaping an ethical, innovative, and impactful future for AI.
What you will be doing
- Work closely with clients to understand their business goals around implementing AI technologies, present sustainable and achievable technical solutions, and adjust strategies based on feedback.
- Guide and mentor engineering teams with your AI expertise, both internally to Livefront and externally with the client, by setting technical standards, conducting code reviews, and contributing to product vision.
- Engage in technical spikes to explore new technologies and methods.
- Lead the design of robust architectures tailored to client needs and implement these solutions hands-on, ensuring scalability and maintainability.
- Design, develop, and integrate APIs, data pipelines, and end-to-end infrastructure that ensure seamless communication between systems. Help optimize performance and enable AI models to be useful, scalable, and maintainable.
- Adapt your skills across diverse projects, including API design, real-time technical support, and DevOps, demonstrating versatility and responsiveness to varied client needs.
- Collaborate cross-functionally, streamlining communication between backend teams, frontend teams, designers, and other team members.
Why you should apply
- You want to work with passionate and talented people who are always looking for ways to make things better.
- You desire a work environment where respect, mutual trust, and egoless collaboration are paramount.
- You want colleagues who take their work seriously but not themselves, and who know how to find fun in the work.
- You like being part of a team that has a reputation for excellence and gives back to the community by educating, mentoring, and sponsoring.
- You want to work on products and accounts that have outsized impact and reach.
- You believe in sweating the details, committing to quality, and taking pride in going the extra mile.
What you bring to the table
- At least 7-10 years of software engineering experience, preferably in a consulting environment or as part of an in-house, cross-functional product team.
- Full-stack engineering experience in web or native mobile.
- Experience with Python/JavaScript, Cloud Infrastructure & DevOps, LLMs & RAG Architecture, and event-driven architectures.
- Data engineering experience that will enable successful AI implementations.
- Demonstrated expertise in architecting, building, maintaining, and scaling modern software on various platforms.
- Experience designing APIs and writing API specifications.
- Ability to clearly articulate technical requirements to other engineers.
- A keen sense of security: you're able to think around corners and see potential risks.
- A talent for communicating directly with clients, managing expectations, and explaining advanced technical concepts and their implications.
- Excellent communication skills and a strong ability to present and defend technical and architectural choices persuasively. Advanced English proficiency.
- Exceptional problem-solving skills.
- Above-average discipline and personal organization skills.
- A demonstrated hunger for personal and professional growth.
- A self-evident love and care for the craft of software engineering.
- Comfort with occasional travel to our HQ in MN.
Bonus points if you...
- Have strong illustration chops as it relates to technical diagramming.
- Speak, write, and/or educate publicly about technical topics.
- Have publicly released your own personal, self-started products or apps.
- Enjoy tinkering with languages and frameworks such as Tensorflow, SciKit Learn, or training machine learning models from scratch.
- Have experience with advanced prompt engineering techniques.
- Enjoy tinkering with emerging languages and platforms such as Go, Rust, Alexa, and/or Unity.
What to expect
When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn, etc).
Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete.
Additional information
We go out of our way to evaluate all employees and job applicants equally based on merit, competence, and qualifications. We encourage candidates from all backgrounds to apply and consider all qualified applicants.
Skills
As published by greenhouse · 9 questions · 2 written answers
Basics
First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
Short answers (3)
- Preferred First Name optional
- LinkedIn Profile
- If applicable, what is the name of the person who referred you?
Pick from a list (4)
- Are you legally authorized to work in Peru without requiring a visa sponsorship or employer-sponsored work authorization?
- Do you currently reside in Peru?
- If you are not a citizen or permanent resident of Peru, do you hold a visa or permit that allows employment without restrictions?
- If you were referred to Livefront, tell us how.
Written answers (2)
- Based on what you know about Livefront right now, why do you want to be a part of our team?
- We get really excited about folks with experience at service-based companies (as opposed to SaaS or in-house product teams). Please describe any digital agency experience you have! optional