Engineer 2 – AI Agentic Solutions

Nordstrom

Engineer 2 in AI Agentic Solutions leveraging agentic AI for retail innovation at Nordstrom. Designing end-to-end solutions across commerce, personalization, inventory, and customer service.

Posted 8/1/2026full-timeSeattle • Washington • 🇺🇸 United StatesJuniorMid-Level💰 $121,500 - $188,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in integrating LLM APIs and agentic frameworks into production services while understanding business metrics and contributing to team roadmaps. Proficient in software engineering principles with a focus on AI agents and context engineering.

Highest-signal resume keywords

LLM API IntegrationAgentic FrameworksSoftware Engineering ExperienceData Structures and AlgorithmsCommunication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI AgentsContext EngineeringData StructuresAlgorithmsObject-Oriented DesignEvaluation PracticesTesting Practices

Soft Skills

Verbal CommunicationWritten Communication

Tools & Technologies

OpenAIAnthropicGoogleLangGraphCrewAISemantic Kernel

Industry Keywords

Agentic WorkflowsBusiness MetricsOn-Call Rotations

About the role

Key responsibilities & impact

Design and build agentic components with minimal supervision.
Contribute to context engineering work.
Apply AI fluency to integrate LLM APIs and agentic frameworks into production services.
Participate in on-call rotations.
Learn to lead work processes and design reviews.
Understand business metrics for the team and how your work connects to the team’s roadmap.

Requirements

What you’ll need

2+ years of professional software engineering experience.
Hands-on experience working with LLMs or foundation model APIs (OpenAI, Anthropic, Google, etc.)
Some experience building or contributing to AI agents or agentic workflows.
Growing understanding of context for agents within token, latency, and cost constraints.
Exposure to evaluation or testing practices for LLM-based systems.
Solid CS fundamentals – data structures, algorithms, and object-oriented design.
Familiarity with modern agentic frameworks such as LangGraph, CrewAI, Semantic Kernel, etc.
Strong verbal and written communication skills.

Benefits

Comp & perks

Medical/Vision, Dental
Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
Performance-based incentives/bonuses
PTO accruals
Holidays, and more.