AI Application Engineer

Partssource • Charlotte, NC

48d • Hybrid

About The Position

We are seeking a skilled AI Application Engineer to design, develop, and deploy production-grade applications powered by Large Language Models (LLMs). This role combines traditional software engineering best practices with cutting-edge techniques to orchestrate LLM workflows and build agentic systems. The ideal candidate is passionate about leveraging AI to create robust, scalable, and data-driven solutions, with a focus on experimentation, evaluation, and continuous improvement.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Proven experience in software engineering, including designing, developing, and deploying production-grade applications.
• Strong understanding of data-driven development, including experimentation, evaluation, and optimization of AI models and interactions.
• Knowledge of agentic systems and their applications in automating complex tasks.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.

Nice To Haves

• Hands-on expertise with Genkit for orchestrating LLM workflows and building agentic systems.
• Familiarity with Firebase for rapid development, authentication, and real-time data management.
• Strong proficiency in TypeScript for building robust, type-safe applications.
• Experience with Google Cloud Platform (GCP), including Vertex AI and Gemini, for deploying and managing AI workloads.
• Experience with other cloud platforms (e.g., AWS, Azure) and their AI/ML services.
• Familiarity with additional AI frameworks or libraries for building and evaluating LLM-based applications.
• Background in researching and experimenting with LLMs to improve performance and user experience.
• Understanding of DevOps practices, including containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

Responsibilities

• Design and implement production-grade applications that integrate LLMs to deliver intelligent, user-centric solutions.
• Develop and orchestrate complex LLM workflows to enable agentic systems capable of autonomous decision-making and task execution.
• software engineering best practices, including modular design, testing, and CI/CD, to ensure high-quality, maintainable codebases.
• Utilize a data-driven approach to develop, evaluate, and optimize LLM interactions, incorporating metrics, experimentation, and iterative research.
• Collaborate with cross-functional teams, including data scientists, product managers, and UX designers, to align AI solutions with business objectives.
• Stay up-to-date with emerging AI technologies, tools, and frameworks to drive innovation in application development.
• Deploy and manage applications on cloud platforms, ensuring scalability, reliability, and security.

Benefits

• Competitive compensation package with salary, incentives, company ownership/equity, and comprehensive benefits (401k match, health, college debt reduction, and more!)
• Career and professional development through training, coaching and new experiences.
• Hybrid culture with new & beautiful workspaces that balance flexibility, collaboration, and productivity.
• Inclusive and diverse community of passionate professionals learning and growing together.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees