Engineer 1: Agentic AI - Inventory Solutions (Hybrid - Seattle, WA)

Nordstrom; Seattle (WA); On-site; USD 105,000 - 163,000; Full time

Benefits offered by this job

Medical/Vision, Dental, Retirement

Paid Time Away

Life Insurance and Disability

Merchandise Discount and EAP Resources

Job summary

Nordstrom seeks an Engineer 1 to contribute to inventory‑focused AI tooling. You’ll build agent components, integrate tools, and write tests under the guidance of senior engineers.

You’ll learn how context engineering grounds agents in inventory data to ensure accurate, traceable results. You’ll participate in evaluation runs, on‑call rotations, and design reviews while adding instrumentation and following Nordstrom’s security standards.

Qualifications

• 1+ years of software engineering experience (internships count).
• Hands-on exposure to LLMs or foundation model APIs.
• Curiosity about agentic AI and production skills.
• Solid CS fundamentals and RESTful APIs knowledge.
• Git or version control experience.
• Willingness to learn LangGraph, CrewAI, Semantic Kernel, or Claude Agent SDK.
• Strong communication and collaboration abilities.

Responsibilities

• Implement agent components, tool integrations, prompts, and retrieval steps.
• Write tests and document work clearly.
• Learn context engineering and grounding agents in inventory context.
• Build and run evaluation scripts and offline benchmarks.
• Participate in on-call rotations and design reviews.
• Add instrumentation: logging, metrics, alerts; follow security standards.
• Collaborate across engineering, product, and business stakeholders.

Skills

1+ years experience

AI Fluency

Agentic AI interest

CS fundamentals

RESTful APIs

Testing & version control

LangGraph / CrewAI / Semantic Kernel

Communication skills

Tools

Jira

Slack

Confluence

Job description

Job Description

ABOUT THE TEAM AND THE ROLE

Nordstrom runs on knowing what inventory it has, where it is, and whether the record can be trusted. The Inventory Integration Systems team owns that truth across a multi-market, multi-channel business — the platforms that track in-transit inventory, reconcile audits, capture vendor data, and keep enterprise inventory accurate for every downstream system that depends on it.

We are now applying agentic AI to that mission. Across platforms like AURA (audit unification using RAG-based AI), IAP (Inventory Audit Platform), OmniTrace (in-transit dashboard and ledger), and our PADLC agent pipeline, we're building agents that don't just report on inventory problems — they investigate them, correlate signals, and take scoped action. This is applied AI on a real, high-stakes retail domain, not a research sandbox.

As an Engineer 1, you are an early-in-career individual contributor building your foundation in agentic AI engineering on top of production inventory systems. You'll work under the guidance of senior engineers on well-scoped units of work — implementing agent components, writing tests, and learning how production agentic systems are designed, evaluated, and operated inside a large enterprise. This is a great role for someone early in their career who is curious about applied AI, excited to grow into a full agentic solutions engineer, and interested in the retail supply-chain and inventory problem space.

A DAY IN THE LIFE

• Implement individual components of agentic inventory solutions — tool integrations (Jira, Slack, Confluence, internal inventory APIs), prompt templates, and retrieval steps — under the direction of senior engineers, writing clean, well‑tested code and documenting your work clearly.
• Learn how the team applies context engineering — what an agent sees, when, and why — including how we ground agents in inventory context (audit records, ledger state, vendor data) so their answers are accurate and traceable.
• Help build and run evaluation scripts and offline benchmarks to check that agent behavior is safe, accurate, and reliable — especially where inventory decisions carry financial implications.
• Participate in on‑call rotations and design reviews, learning to debug issues and surface trade‑offs on the specific functions or components you own.
• Add basic instrumentation — logging, metrics, alerts — to the systems you build, and follow Nordstrom's engineering and security standards, including secure handling of sensitive inventory and vendor data.
• Collaborate across engineering, product, and business stakeholders to understand how your work fits into the larger inventory platform and where agentic AI can meaningfully reduce manual audit and reconciliation effort.

YOU OWN THIS IF YOU HAVE…

Must Have

• 1+ years of professional software engineering experience (internships count), or a relevant certification (e.g. bootcamp).
• AI Fluency Required — Some hands‑on exposure to LLMs or foundation model APIs (Anthropic, OpenAI, Google, etc.), whether through coursework, projects, internships, or professional experience.
• Genuine curiosity about agentic AI — how agents use tools, retrieve context, and take actions — and a desire to build production skills in this space.
• Solid CS fundamentals — data structures, algorithms, and object‑oriented design — along with familiarity with RESTful APIs, JSON, and how services communicate with one another.
• Basic understanding of software testing practices and version control (e.g. Git).
• Willingness to learn modern agentic frameworks such as LangGraph, CrewAI, Semantic Kernel, or the Claude Agent SDK.
• Strong verbal and written communication skills, and a collaborative, feedback‑seeking mindset.

Nice to Have

• Coursework, personal projects, or internship experience involving prompt engineering, retrieval‑augmented generation (RAG), or vector databases.
• Exposure to a backend language and framework such as Java / Spring Boot or Python, and to messaging middleware like Kafka.
• Exposure to cloud platforms such as AWS or GCP, containerization (Docker / Kubernetes), and CI/CD basics.
• Familiarity with backend databases (e.g. Spanner, Postgres).
• Interest or coursework in retail, e‑commerce, supply chain, or inventory problem spaces.
• Any contributions to open‑source AI projects or personal experimentation with LLM applications.

Pay Range Details

The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.

Pay offers are dependent on the location, as well as job‑related knowledge, skills, and experience.

$104,500.00 - $162,500.00 Annual

We’ve got you covered…

Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources

This position may be eligible for performance‑based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_15_Full_Time_ES-US.pdf

A few more important points...

The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.

For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.

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