AI Solutions Engineer

Job not on LinkedIn

February 22

❄️ Minnesota – Remote

Although this job is listed in Minnesota, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

🦅 H1B Visa Sponsor

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Livefront

WebsiteLinkedInAll Job Openings

B2B • SaaS • Artificial Intelligence

Livefront is a company that helps other companies grow by creating digital products that people love. Since 2001, they have shaped the way companies win in the digital space by designing, building, and scaling core digital products and experiences. Their services include strategy consulting, design, product development, and integration of data and AI to create personalized experiences. Livefront is a trusted partner of large brands, helping them strategically implement AI to enhance the development and performance of digital products. They have worked on projects transforming educational support, smart home automation, and digital engagement for consumer brands.

11 - 50 employees

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• At Livefront, we help companies design and build world-class digital products that command attention and inspire joy. We’ve helped household names like Target, 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. • Who you are • You're a problem-solver with impeccable intuition for driving innovation and solutions into new and existing products using AI, LLMs, RAG-based architectures, and machine learning. You have a long history of working with software technologies on various platforms, and when you confront something unfamiliar, you figure it out quickly and correctly. You're just as comfortable designing an architecture as you are doing the heavy lifting to implement it. You can skillfully articulate requirements to our internal team, and you can navigate complex technical discussions and decisions with our client partners. You're not limited by software engineering dogma, and your engineering principles are mature, fluid, and influenced by your experience, your peers, and our industry's ever-changing landscape.

🎯 Requirements

• 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. • Fullstack engineering experience across web, mobile, and embedded systems. • Specific experience working with Python, JavaScript, RAG-based architectures, Prompt Engineering, Azure, and Kafka. • Experience building software that integrates generative AI, LLM’s, and NLP’s. Understanding of data engineering in order to successfully lead AI product development. • Experience building consumer-facing native mobile and web applications, with a fluent command of the native languages and core frameworks. • Demonstrated expertise architecting, building, maintaining, and scaling modern software on various platforms. • Ability to design, setup, and maintain DevOps pipelines using various tools and techniques. • Ability to design and maintain CI/CD pipelines and manage complex deployments. • Experience designing APIs and writing API specifications. • Ability to clearly articulate technical requirements to other engineers. A keen sense for security: you're able to think around corners and see potential risks. • An ability to understand client expectations, the work the team has done and still has to do to meet those expectations, and the ability to motivate the team to successfully deliver. • Work samples showcasing performant, neatly organized code with clean, well-implemented user interfaces. 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. • Renowned 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.