Senior Agentic AI Engineer — Embedded Delivery

Ethereum Technologies

Oregon

On-site

USD 85,000 - 121,000

Full time

30 hours ago
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Job summary

Ethereum Technologies is seeking a hands-on Senior Agentic AI Developer / Forward Deployed Engineer in Oregon, IL, USA. The role focuses on delivering end-to-end enterprise AI solutions, including RAG pipelines and deterministic logic, with governance and security baked in.

You will collaborate with business stakeholders and platform teams to translate needs into production-grade systems, owning the delivery from discovery through deployment and operational readiness.

Qualifications

  • Mandatory experience in software/data engineering with LLM-enabled applications.
  • Ability to translate business problems into technical specifications and acceptance criteria.
  • Experience delivering end-to-end enterprise AI solutions including discovery, design, development, and deployment.

Responsibilities

  • Embedded Discovery and Solution Delivery: work with business users and subject-matter experts to understand workflows and outcomes.
  • Translate requirements into technical specs, user stories, testable criteria, and delivery plans; build working vertical slices demonstrating business value.
  • Agentic AI and LLM Application Engineering: develop bounded AI capabilities, implement structured outputs, context retrieval, and tool calling.
  • Design tool contracts with clear permissions, schemas, failure behavior, and audit requirements.
  • Ground AI responses in approved sources with human review, escalation, and fallback behaviors.

Skills

RAG Pipeline
Agentic AI
Python
Azure

Job description

Ethereum Technologies is seeking a hands-on Senior Agentic AI Developer / Forward Deployed Engineer in Oregon, IL, USA. The role focuses on delivering end-to-end enterprise AI solutions, including RAG pipelines and deterministic logic, with governance and security baked in.

You will collaborate with business stakeholders and platform teams to translate needs into production-grade systems, owning the delivery from discovery through deployment and operational readiness.

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