AI Solutions Engineer

Rallyday Partners; Peru (IL); On-site; USD 70,000 - 100,000; Full time

Job summary

Rallyday Partners is seeking an experienced AI Solutions Engineer for a senior-level role with remote opportunities in Peru. The ideal candidate should have a strong background in AI and machine learning, along with substantial experience in software engineering.

Responsibilities include guiding engineering teams and designing robust AI architectures tailored to client needs, optimizing performance, and ensuring maintainability. Rallyday Partners offers a collaborative work environment emphasizing respect and trust.

Qualifications

• 7-10 years of software engineering experience, ideally in consulting or cross-functional teams.
• Experience with AI architectures like LLMs and RAG.
• Excellent English communication skills and ability to articulate technical concepts.

Responsibilities

• Work closely with clients to craft AI solutions.
• Guide and mentor engineering teams on AI technologies.
• Lead design and implementation of scalable AI architectures.
• Integrate APIs and optimize AI model performance.

Skills

AI and Machine Learning

Full-stack Engineering

Python

JavaScript

Cloud Infrastructure

Communication Skills

Problem-solving

API Design

Job description

We’re looking for an AI Solutions Engineer to join our team. This is a senior-level position with the opportunity to work remotely inPeru.

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.

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.