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AI Engineer

Embedded Alliance • Herndon, VA, US • published 2026-10-12 20:22:09.385737

Description

**The work** We are seeking to build a team to implement LLM models into our current analytic environment. This role ranges from Senior to Junior level Software Engineers to provide hands\-on application engineering: agent orchestration, retrieval pipelines, tool integration, and the backend services that hold it together, deployed into a classified enterprise environment. **What you’ll do** Work varies with experience, but expect a mix of: *Build agent components.* Implement orchestration logic, tool integrations, and memory handling within agent\-based applications with design support early on and increasing ownership as you go. *Work the retrieval pipeline.* Document processing, embedding generation, retrieval configuration, prompt assembly. This is where most people learn what actually makes RAG work, and where you’ll spend real time. *Write the services.* Python REST APIs supporting data retrieval, system integration, and agent workflows. *Handle the data.* Process and transform structured and unstructured data for AI workflows; work with Postgres schemas and query performance. *Ship to production.* Testing, deployment, and the enterprise realities of a classified environment....

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