AI Application Engineer

parts source; Charlotte (NC); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary and equity

Hybrid work culture

Career development programs

Job summary

PartsSource is hiring an AI Application Engineer to design and develop production-grade applications using Large Language Models (LLMs). This role requires software engineering expertise and a passion for leveraging AI in real-world applications. The ideal candidate will work collaboratively with data scientists and product managers to innovate and deploy AI solutions.

We offer a competitive compensation package, career development opportunities, and a hybrid work culture in Charlotte, North Carolina.

Qualifications

• Proven experience in designing, developing, and deploying production-grade applications.
• Strong understanding of experimentation and optimization of AI models.
• Knowledge of agentic systems and their applications in task automation.

Responsibilities

• Design and implement production-grade applications integrating LLMs.
• Develop complex LLM workflows for autonomous decision-making.
• Collaborate with cross-functional teams on AI solutions.

Skills

Software engineering

Data-driven development

Problem-solving

TypeScript

DevOps practices

Education

Bachelor’s degree in Computer Science, Engineering or a related field

Tools

Genkit

Firebase

Google Cloud Platform

Docker

Kubernetes

Job description

About the Job Opportunity

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.

What You’ll Do

• 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.
• Apply 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.

What You’ll Bring

• 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.

Who We Want to Meet

• 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).

Why Join Us?

• Work on cutting‑edge AI applications that push the boundaries of what’s possible with LLMs.
• Collaborate with a talented team passionate about innovation and impact.
• Access to state‑of‑the‑art tools and technologies in a supportive, growth‑oriented environment.
• Contribute to building scalable, agentic systems that solve real‑world problems.

Reporting Structure

This position reports directly to the VP of Business Technology and will collaborate closely with senior leaders across operations, finance, sales, and customer service.

Benefits & Perks

• 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 and beautiful workspaces that balance flexibility, collaboration, and productivity.
• Inclusive and diverse community of passionate professionals learning and growing together.

EEO Statement

PartsSource, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Legal authorization to work in the U.S. is required.