Application Engineer - AI

Allspring Engineering and Technology is seeking an Application Engineer with AI skills to build and enhance the technology platforms supporting Marketing and Distribution, with a particular focus on agentic automation. The engineer will initially work on Allspring’s production agentic RFP/DDQ platform and will help develop new agentic capabilities and platforms as additional business use cases emerge.

Working within the Client Journey Management Technology team, the engineer will partner with Engineers, Application Strategists, Product Owners, and QA Analysts across the full application lifecycle, from development and enhancement through production support and continuous improvement.

The ideal candidate brings strong Python engineering skills, experience supporting production applications, and hands‑on exposure to LLM-based solutions, with an interest in building scalable agentic applications and taking increasing ownership of the platforms.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week.

Location(s):
Charlotte, NC, or Milwaukee, WI

Engineering & Platform Delivery

• Design, build, enhance, and support technology platforms that enable Allspring’s Marketing and Distribution capabilities, with an increasing focus on AI and agentic automation
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• Develop scalable, maintainable solutions across Python services, APIs, integrations, and React/Type Script applications.
• Build and enhance agentic capabilities, initially supporting the RFP/DDQ platform while extending reusable AI patterns and capabilities to other Marketing and Distribution use cases.
• Integrate CJM platforms with business applications, enterprise services, content repositories, and data sources.
• Partner with Application Strategists, Product Owners, QA Analysts, fellow Engineers, and business stakeholders to translate business needs into sustainable technology solutions.
• Follow established engineering practices for development, code review, testing, deployment, documentation, and production readiness.

Operations & Technical Support

• Monitor application health and performance across pre-production and production environments, including Cloud Watch alarms and Arize Phoenix traces.
• Triage application alerts and user‑reported issues, diagnose root causes, implement fixes, and elevate complex issues with clear technical analysis.
• Investigate AI answer‑quality issues by evaluating source retrieval, content, prompts, configuration, and application code.
• Deliver bug fixes, technical improvements, and application enhancements as part of the ongoing engineering lifecycle.
• Maintain runbooks, technical documentation, and known‑issues tracking to improve platform reliability and supportability.
• Participate in the team’s established production support and escalation model as required

Agentic AI, Knowledge & Content

• Manage document ingestion and synchronization for the Bedrock Knowledge Base as underlying content changes.
• Validate metadata, provenance, and citations following content ingestion.
• Partner with business and content owners to identify content‑quality or freshness issues that may affect agentic platform responses.
• Develop and refine prompts, configurations, retrieval approaches, and other components that improve the accuracy and effectiveness of agentic solutions.
• Run appropriate evaluations against established datasets before AI‑related changes are released.

Quality & Engineering Excellence

• Build and maintain automated unit, integration, and end‑to‑end testing across backend and frontend components.
• Maintain application dependencies and container images, proactively identifying potential breaking changes or technical risks.
• Support model and platform upgrades through…