AI Solutions Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 156d ago
The date the source published, not the day we noticed it (2026-05-07). Last seen at its source 4h ago.
We have tracked this listing since 9 Oct 2026 (1 days). The employer's own board has carried it every time we have read it, most recently 4 hours ago.
Is it remote?
Remote (Peru)
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Peru
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $148.2k–220.8k/yr
Middle 50% of 4200 listings that do state pay — Engineering · all levels · Americas · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 1d ago · last seen 4h ago
The listing
Who you are
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.