AI Systems Engineer, Archer

• M.S or PhD degree in Computer Science, Computer Engineering, or related field
• Enjoys solving less-defined and complex problems
• Familiarity with general AI methodologies/algorithms, and the more recent LLM technologies
• Familiarity with SW techniques for AI quantization, sparsity, model distillation, etc
• Ability to build out RAG systems, develop data pipelines, build datasets, etc
• Has ability to develop high performing SW infrastructure and systems to support foundation model development
• Ability to optimize the latency of AI systems while considering the target HW architectures
• Strong critical thinking, SW development, and algorithm design
• C++/C, Rust, and Python Expertise or similar

Desirable

• As a strong software developer, you will develop AI systems at production quality and be responsible for:
• Designing and building end-to-end AI/ML pipelines for model training, evaluation, deployment, and monitoring
• Developing and maintaining scalable, secure, and fault-tolerant AI infrastructure on cloud and/or on-prem environments
• Integrating AI/ML models into production systems with a focus on reliability and performance
• Collaborating with AI scientists and researcher engineers to translate prototypes into production-ready solutions
• Implementing automation tools to support CI/CD for machine learning workflows
• Monitoring and optimizing resource usage, data pipelines, and model inference efficiency
• Ensuring compliance with data privacy, security, and ethical AI practices
• Documenting system architecture and processes to support maintainability and knowledge sharing