AI Application Engineer, People Applications

DoorDash's People Applications team is seeking an AI Application Engineer to develop cutting-edge AI/ML solutions for customer-facing applications. This role involves working directly with senior leaders and cross-functional partners to design, build, and maintain end-to-end solutions for various people functions.

Key Responsibilities:

• Deploy Generative AI (LLMs) and other advanced ML tools to scale technology solutions across the organization
• Build tools and resources to enhance employee experience
• Work with a global workforce to solve critical needs of employee and candidate populations
• Own your space and be creative in navigating new areas of people technology and analytics

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• Minimum 3 years of experience in developing and deploying ML solutions, ideally including LLMs
• 5+ years of general software development experience
• Proficiency in Python, JavaScript, and web development (React, TypeScript, Express.js, Node.js, Postgres)
• Experience in designing and implementing AI solutions for real-world problems
• Strong understanding of machine learning algorithms and principles
• Experience with data preprocessing, mining, and analysis
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, Keras, Scikit-learn)
• Knowledge of big data technologies (Hadoop, Spark, NoSQL databases)
• Proficiency with cloud platforms (AWS, Google Cloud, Azure) and deploying AI models in cloud environments
• Experience with version control systems like Git
• Familiarity with Agile/Scrum development processes

Preferred Skills:

• Experience with Generative AI frameworks (LangChain, Hugging Face, Llama Index)
• Knowledge of RAG implementation and optimization
• Experience with Generative AI development, including prompt engineering, agents, guardrails, and knowledge base optimization

This role offers the opportunity to shape the future of DoorDash by leveraging AI to improve the employee experience and drive innovation in people technology.