Agentic Delivery Systems Engineer
Pubblicato il 19-10-2026 - AspenView Technology Partners in Modena
Build the Future with AspenView Technology Partners
At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.
As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.
About The Role
AspenView is hiring an Agentic Delivery Systems Engineer to own how well agentic software delivery actually works on a large AI-led modernization programme for a global payments and financial-technology platform. The client is deploying AI-assisted development across 8,000+ engineers, running an agentic AI operating system for banking built on OpenAI with Amazon Bedrock and AWS AgentCore, and operating autonomous coding agents against core-platform modernization in parallel. Its restaurant, lodging and hospitality commerce business is a named growth vertical.
AspenView delivery teams build software with agents in the loop,
and this role owns the part that decides whether that works: the context that reaches the model, the token and cost envelope it runs in, the tools and permissions each agent is given, and the evidence that any of it is making teams faster without making the code worse. This is a delivery system, not a chatbot — you will instrument first, form a hypothesis, and let the data overrule intuition.
What You Will Do
Context Engineering & Token Economics
• Design what enters the context window and what does not: retrieval strategy, file and repository scoping, structured summaries, and pruning rules that keep long sessions coherent across a large, heterogeneous estate.
• Diagnose and fix context degradation — window saturation, stale or contradictory context, lost-in-the-middle recall loss, and compaction that silently drops critical state.
• Optimise prompt caching, session compaction, and reuse to cut redundant token spend without r