AI Engineer

Machine Learning Technologies, LLC; Oregon; On-site; USD 85,000 - 121,000; Full time

Job summary

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

Qualifications

• 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

Responsibilities

• 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.

Skills

RAG Pipeline

Agentic AI

Python

Azure

Job description

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.