About the position
Developer Experience Platform team is looking for an extraordinary Python backend engineer who has a robust understanding of Large Language Models (LLMs) and Generative AI to join our team. You will help design, implement the core backend services and pipelines that integrate with various other enterprise services including LLMs and bring Gen AI services. You would support our mission by applying groundbreaking research in this rapidly evolving and exciting space, to our daily work. By contributing to our team, you'll play an integral part in developing our developer productivity tools, leaving a significant footprint on the evolution of our enterprise AI platforms. Developer Experience Platform team provides frameworks, services and developer tools to internal engineering teams in Apple to accelerate their SDLC. We are working on a Generative AI based Developer Experience Platform for internal use and assist our app development team. This role involves multiple aspects on the backend, like ensuring LLM based code generation is accurate, and integrating with various enterprise services. You will collaborate with Machine Learning engineers, Software engineers, and other data scientists to deliver an end-to-end solution for this platform. This is a hands-on role for developing and supporting new and existing features. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development.
Responsibilities
- Design and implement core backend services and pipelines integrating with enterprise services including LLMs.
- Support the mission by applying research in the field of Generative AI.
- Develop and support new and existing features for developer productivity tools.
- Collaborate with Machine Learning engineers, Software engineers, and data scientists.
- Ensure LLM based code generation is accurate.
- Coordinate with cross-functional teams to manage interdependencies in application development.
Requirements
- Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.
- Familiarity with large language model frameworks for evaluating and fine-tuning models.
- Proven track record of building enterprise-grade ML pipelines in cloud environments (AWS, GCP, Azure).
- Effective communication skills, both written and verbal, with technical and non-technical teams.
- Collaborative mindset to brainstorm on architectural patterns.
Nice-to-haves
- Experience working on platform engineering or a developer experience platform.
- Keen interest in keeping up with the latest in the industry.
