Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software AI Engineer Mid-Level, Context Engineering in the United States.
This role sits at the intersection of software engineering and applied AI infrastructure, focused on building the “context layer” that powers modern LLM-driven systems. You will help design and develop the foundational services that connect enterprise data to AI agents in a secure, scalable, and efficient way. Working in a cloud-native environment, you will contribute to data retrieval systems, agent tool integrations, and AI workflow automation. The position is highly hands-on, requiring strong backend engineering skills and a curiosity for emerging AI architectures. You will collaborate with cross-functional teams to ensure reliable data flow into AI systems used across enterprise applications. This is an opportunity to shape the operational backbone of next-generation AI platforms while working on production-grade systems at scale.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software AI Engineer Mid-Level, Context Engineering in the United States.
This role sits at the intersection of software engineering and applied AI infrastructure, focused on building the “context layer” that powers modern LLM-driven systems. You will help design and develop the foundational services that connect enterprise data to AI agents in a secure, scalable, and efficient way. Working in a cloud-native environment, you will contribute to data retrieval systems, agent tool integrations, and AI workflow automation. The position is highly hands-on, requiring strong backend engineering skills and a curiosity for emerging AI architectures. You will collaborate with cross-functional teams to ensure reliable data flow into AI systems used across enterprise applications. This is an opportunity to shape the operational backbone of next-generation AI platforms while working on production-grade systems at scale.
