AI Engineer

Ethereum Technologies; Oregon; On-site; USD 85,000 - 121,000; Full time

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Type : W2 Contract
Location : Oregon, IL, USA
Duration :12 months
Bill Rate :$75/Hr on W2
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

• Mandatory Skills RAG Pipeline, Agentic AI, Python, Azure We are seeking a hands-on Senior Agentic AI Developer / Forward Deployed Engineer to design, build, integrate, and operationalize enterprise applications.
• The engineer will work closely with business stakeholders, domain experts, product owners, architects, data engineers, quality engineers, and platform teams to translate business problems into secure, testable, and supportable solutions.
• This is an embedded delivery role with end-to-end implementation ownership, covering discovery, technical design, application and data development, AI integration, evaluation, deployment, and operational readiness.
• The successful candidate must be equally comfortable implementing deterministic business rules and developing governed AI-assisted capabilities.
• This is not solely a prompt-engineering, model-research, or architecture-advisory position.
• Recommended experience 6+ years in software/data engineering, including 2+ years delivering LLM-enabled applications or equivalent demonstrable experience Key Responsibilities A.
• Embedded Discovery and Solution Delivery Partner directly with business users and subject-matter experts to understand workflows, pain points, exceptions, and desired outcomes.
• Translate business requirements into technical specifications, user stories, testable acceptance criteria, and incremental delivery plans. Identify when deterministic logic, conventional automation, retrieval, or an AI agent is the appropriate solution. Build working vertical slices that demonstrate business value rather than disconnected proofs of concept.
• Communicate technical trade-offs, risks, dependencies, and decisions clearly to technical and nontechnical stakeholders. B. Agentic AI and LLM Application Engineering Develop bounded AI capabilities for research, explanation, recommendation, and workflow assistance. Implement structured outputs, context retrieval, tool/function calling, prompt versioning, and output validation.
• Design tool contracts with explicit permissions, schemas, failure behavior, and audit requirements.
• Ground AI responses in approved, versioned sources and preserve links to supporting evidence. Implement human review, escalation, abstention, and fallback behavior. Enforce authorization boundaries in application code and tool permissions—not through prompts alone.
• Evaluate model and framework options against approved enterprise requirements for quality, security, latency, and cost. C.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.