Skill

Context Management

Data Science, Analytics and AI/ML

Context management refers to the practice of tracking, organizing, and maintaining relevant background information—whether in software systems, AI applications, or general project work—so that decisions and outputs remain coherent and informed over time. In AI/LLM applications specifically, it involves curating what information stays in or is removed from a model's working memory to optimize performance and cost.

Open roles requiring Context Management (1)

AI Platform Engineer

Beckman Coulter

Full-time · $150,000 – $200,000

This role builds the backend platform that enables AI agents to automate scientific workflows, connecting laboratory instruments and cloud systems while managing data, orchestration, and integration at scale. It suits experienced backend engineers who want to apply distributed systems expertise to regulated life sciences environments and emerging AI technologies.

Listed on Beckman Coulter’s careers site · Apply there ↗

Roles that use Context Management

• Software Engineer1

• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Context Engineering
• Memory Management