AI Solutions Engineer

AI Solutions Engineer

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.

Responsibilities

• 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, both internally to Livefront and externally with the client by setting technical standards and conducting code reviews.
• 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, ensuring seamless communication between systems and enhancing overall performance.
• Design, set up, and maintain CI/CD pipelines. Manage deployment processes, ensuring smooth and reliable releases.
• Address and resolve technical issues promptly, ensuring minimal disruption to project timelines.
• Engage in diverse projects, from API design to live team support to full-time DevOps, adapting your skills to meet varied client needs.

Preferred Qualifications

• Have scripting expertise (Unix shell, Ruby, Perl, etc.).
• 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 emerging languages and platforms such as Go, Rust, Alexa, and/or Unity.