Python Developer

Sr Backend Software Engineer – Data & ML Innovation 📍 Location: Cupertino, CA 💼 W-2 Only | No C2C | No Sponsorship ⏳ Long-term Contract Summary Join a cutting-edge AI/ML organization focused on improving Foundation Models through large-scale data innovation. This team leverages data from a variety of sources including licensed, vendor, crawl, and internal datasets to optimize model training efficiency and performance. We are seeking a Senior Backend Software Engineer with deep Python expertise and experience building scalable backend systems, pipelines, and data services supporting large-scale AI/LLM workflows. Responsibilities • Develop large-scale training data pipelines for AI/ML systems • Convert raw data into formats compatible with training jobs across GCP and AWS environments • Support large-scale inference workflows using fine-tuned LLMs • Build scalable backend services and REST APIs for data access and inspection tools • Process and filter massive, often messy datasets efficiently • Leverage open-source and internal tooling to improve model training and inference performance • Collaborate cross-functionally with engineering teams to drive backend innovation and scalability Minimum Qualifications • BS in Computer Science, Electrical Engineering, or equivalent technical degree (firm requirement, cannot substitute for a data science degree) • 10+ years of professional Python development experience • Strong understanding of: • Concurrency & parallelism • Functional programming • Decorators • Data structures & algorithms • Object-oriented programming • Experience building scalable applications and distributed systems • Proficiency with REST APIs, Redis, VectorDBs, or other large-scale data storage technologies • Experience designing, testing, reviewing, and deploying production-scale software systems Preferred Qualifications • Experience with streaming/data processing technologies such as Kafka • Familiarity with tools such as Docker, Jenkins, Maven, and Gradle • Exposure to GCP and AWS environments • Experience supporting AI/ML or LLM-related infrastructure and workflows • Strong architecture and system design experience • Excellent communication and cross-functional collaboration skills • Self-motivated, curious, and comfortable working in ambiguous, fast-paced environments