AI Engineer

AI Engineer

Requirements

• Experience with engineering projects, ideally related to ML or AI
• Strong software engineering skills, especially with distributed systems
• Proficiency in Python and ML frameworks (PyTorch, Hugging Face)
• Experience with prompt engineering and deploying language models
• Ability to handle and preprocess large, diverse datasets
• Understanding of AI safety and responsible development
• Knowledge of AI evaluation and benchmarking
• Clear communication of complex AI concepts

Responsibilities

• Contribute to AI projects from concept to production deployment
• Design and build systems using large language models to process complex technical documents
• Develop solutions for multi-modal data handling (PDFs, logs, tables)
• Solve challenging AI and software engineering problems
• Work with other teams to integrate AI into our products
• Create robust AI evaluation frameworks
• Develop strategies to manage AI-specific challenges (latency, variance, errors)
• Keep up with AI advancements, especially in language models and multi-modal AI

Preferred Qualifications

• Experience deploying AI in production environments
• Cloud platform knowledge for AI deployment
• Familiarity with advanced AI techniques (few-shot learning, meta-learning)
• Open-source AI contributions or relevant publications
• Ability to balance AI innovation with production-ready systems
• Adaptability in a fast-paced, evolving AI landscape