[Remote] AI Application Engineer
Note: The job is a remote job and is open to candidates in USA. PartsSource Inc. is the leading technology and software platform for managing mission-critical healthcare equipment. They are seeking an AI Application Engineer to design, develop, and deploy production-grade applications powered by Large Language Models, combining traditional software engineering with cutting-edge AI techniques.
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
- 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
Skills
- 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
- 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)
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.
Company Overview