AI Solutions Engineer

📋 Description

• • As an AI Solutions Engineer at Livefront, Inc., you will be at the forefront of innovation, leveraging your deep expertise in Artificial Intelligence, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures to design, develop, and deploy groundbreaking digital products. This senior-level role offers the unique opportunity to work remotely from Costa Rica, contributing to a company renowned for creating world-class digital experiences for leading brands such as Target, Samsung, General Mills, and Optum, as well as empowering startups to disrupt their industries.
• • You will be instrumental in translating complex AI concepts and emerging capabilities into practical, impactful solutions for our diverse clientele. Your responsibilities will span the entire product development lifecycle, from initial ideation and rapid prototyping in R&D sprints to the meticulous implementation and deployment of robust, scalable production code. This requires a dynamic blend of strategic thinking and hands-on execution, ensuring that our AI-driven solutions are not only technically sound but also align perfectly with client objectives and user needs.
• • A core aspect of your role will involve architecting sophisticated AI systems. This includes designing LLM-based applications, integrating them with external data sources through RAG techniques, and ensuring optimal performance, security, and scalability. You will be expected to stay abreast of the latest advancements in AI and machine learning, continuously evaluating new tools, frameworks, and methodologies to enhance our offerings and maintain our competitive edge.
• • You will play a pivotal role in client engagements, acting as a trusted technical advisor. This involves clearly articulating complex technical requirements, potential challenges, and innovative solutions to both internal engineering teams and external client stakeholders. Your ability to foster strong relationships and communicate effectively will be crucial in guiding clients through the AI adoption journey and ensuring project success.
• • The role demands a proactive and adaptable approach to technology. You will be expected to quickly master unfamiliar technologies and tools, demonstrating a strong capacity for continuous learning and self-development. Your engineering principles should be mature and well-defined, yet flexible enough to adapt to the rapidly evolving AI landscape. This adaptability is key to navigating the inherent uncertainties of cutting-edge R&D and delivering reliable solutions.
• • Collaboration will be central to your success. You will work closely with product managers, designers, and other engineers to ensure that AI solutions are seamlessly integrated into user-centric product designs. Your insights will help shape product strategy, identify new opportunities for AI integration, and drive the ethical and responsible development of intelligent systems.
• • You will be a champion for thoughtful AI development, ensuring that solutions are not only performant and intuitive but also designed with a strong emphasis on ethical considerations, fairness, and transparency. Your pragmatic approach will balance the excitement of AI innovation with the discipline required to build reliable, maintainable, and impactful technology.
• • This position is ideal for a candidate who thrives in a fast-paced, innovative environment, possesses a deep curiosity for AI, and is driven by the craft of building exceptional software. You will have the autonomy to explore new ideas, the support of a talented team, and the opportunity to make a significant impact on the digital products that shape millions of users' experiences.
• • Key responsibilities include:
• • Designing and implementing AI-powered features and products using LLMs and RAG architectures.
• • Developing and optimizing machine learning models and algorithms.
• • Architecting scalable and robust AI solutions, considering factors like performance, security, and cost.
• • Collaborating with cross-functional teams to define product requirements and technical specifications.
• • Conducting research and staying current with the latest AI/ML trends and technologies.
• • Prototyping and iterating on AI solutions in rapid R&D cycles.
• • Deploying and monitoring AI models in production environments.
• • Communicating technical concepts and strategies to both technical and non-technical audiences.
• • Ensuring the ethical and responsible development and deployment of AI systems.
• • Contributing to the continuous improvement of Livefront's AI capabilities and best practices.