TECHNOLOGY ARCHITECT/ Senior AI Engineer (Applied AI)

Diverse Lynx, LLC

  • Blaine, MN
  • 5 days ago

    Highlights

    Context & Memory Engineering: Implementing multi-layered memory architectures including short-term memory for active turn execution, long-term memory for cross-session state persistence, and episodic summarization to manage token context windows. Document Persistence: Utilizing document-store databases to store unstructured execution payloads, dynamic agent states, and raw chat logs.

    Numbers & Facts

    LocationBlaine, MN

    Description

    What are the top 3 skills required for this role?

    1. Agentic Workflows & Memory Systems

    2. Data & Retrieval Infrastructure

    3. Production Reliability & Performance

    4. Agentic Workflows & Memory Systems

    Stateful Orchestration: Building and debugging production-grade, cyclic multi-agent workflows and state machines.

    Context & Memory Engineering: Implementing multi-layered memory architectures including short-term memory for active turn execution, long-term memory for cross-session state persistence, and episodic summarization to manage token context windows.

    Tool Call Management: Designing dependable function-calling patterns equipped with automated retry logic and self-correction handlers.

    1. Data & Retrieval Infrastructure

    Vector & Relational Storage: Managing relational metadata schemas and executing optimized semantic vector similarity searches inside a combined relational database layer.

    Document Persistence: Utilizing document-store databases to store unstructured execution payloads, dynamic agent states, and raw chat logs.

    Hybrid RAG Pipelines: Combining relational/exact-match queries with vector-space searches for high-precision retrieval.

    1. Production Reliability & Performance

    Granular Tracing: Instrumenting end-to-end tracing to monitor agent execution steps, debug non-deterministic loops, and track token costs.

    Automated Evals: Creating programmatic evaluation testing and scoring frameworks to benchmark agent accuracy before production deployment.

    Core Backend Development: Writing clean, concurrent, asynchronous Python code to handle high-throughput foundation model APIs.

    Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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