Senior Agentic AI Engineer — Embedded Delivery

Machine Learning Technologies, LLC

Oregon

In loco

USD 85.000 - 121.000

Tempo pieno

39 ore fa
Candidati tra i primi

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Machine Learning Technologies, LLC is seeking a hands-on Senior Agentic AI Developer / Forward Deployed Engineer to design, build, integrate, and operationalize enterprise AI applications in an embedded delivery role with end-to-end ownership. You will translate business problems into secure, testable solutions and collaborate with stakeholders across disciplines to deliver value.

The role emphasizes deterministic logic, governed AI capabilities, and the integration of LLMs into enterprise

Competenze

  • 6+ years in software/data engineering
  • 2+ years delivering LLM-enabled applications or equivalent experience
  • Hands-on design, development and deployment of enterprise AI solutions

Mansioni

  • Embedded Discovery and Solution Delivery: work with business users and experts to translate workflows into technical specs and acceptance criteria.
  • Agentic AI and LLM Application Engineering: develop bounded AI capabilities, implement structured outputs, context retrieval, tool calling, versioning and validation.
  • Design tool contracts with permissions, schemas, audit requirements and ensure AI results are grounded in approved sources with human review and escalation when needed.

Conoscenze

RAG Pipeline
Agentic AI
Python
Azure

Descrizione del lavoro

Machine Learning Technologies, LLC is seeking a hands-on Senior Agentic AI Developer / Forward Deployed Engineer to design, build, integrate, and operationalize enterprise AI applications in an embedded delivery role with end-to-end ownership. You will translate business problems into secure, testable solutions and collaborate with stakeholders across disciplines to deliver value.

The role emphasizes deterministic logic, governed AI capabilities, and the integration of LLMs into enterprise

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