Engineer 1 – Agentic AI, Inventory Solutions

Nordstrom

. Implement components of agentic inventory solutions, including Jira, Slack, Confluence, and internal inventory API integrations .

Posted 10/19/2026full-timeSeattle • Washington • United StatesJunior💰 $104,500 - $162,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in software engineering with a focus on agentic inventory solutions, including experience with LLMs and API integrations. Strong understanding of computer science fundamentals and software testing practices, complemented by effective communication and collaboration skills.

Highest-signal resume keywords

Software Engineering ExperienceLLM ExposureRESTful APIsJava/Spring Boot or PythonVersion Control (Git)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StructuresAlgorithmsObject-Oriented DesignPrompt EngineeringSoftware Testing Practices

Soft Skills

Strong Communication SkillsCollaborative Mindset

Tools & Technologies

JiraSlackConfluenceDockerKubernetes

Certifications & Qualifications

Relevant Certification (e.g. Bootcamp)

Industry Keywords

RetailE-CommerceSupply ChainInventory Problem Spaces

Tech Stack

Tools & technologies

AWSDockerGoogle Cloud PlatformJavaKafkaKubernetesPostgresPythonSpringSpring BootSpringBoot

About the role

Key responsibilities & impact

Implement components of agentic inventory solutions, including Jira, Slack, Confluence, and internal inventory API integrations
Develop prompt templates and retrieval steps under senior engineer direction
Write clean, well-tested code and document work clearly
Apply context engineering to ground agents in audit records, ledger state, and vendor data
Build and run evaluation scripts and offline benchmarks for safe, accurate, reliable agent behavior
Participate in on-call rotations and design reviews
Debug issues and surface trade-offs for owned functions or components
Add logging, metrics, and alerts
Follow engineering and security standards for sensitive inventory and vendor data
Collaborate with engineering, product, and business stakeholders to reduce manual audit and reconciliation effort

Requirements

What you’ll need

1+ years of professional software engineering experience (internships count), or a relevant certification (e.g. bootcamp)
Hands-on exposure to LLMs or foundation model APIs such as Anthropic, OpenAI, or Google
Curiosity about agentic AI and how agents use tools, retrieve context, and take actions
Solid computer science fundamentals: data structures, algorithms, and object-oriented design
Familiarity with RESTful APIs and JSON
Basic understanding of software testing practices and version control such as Git
Willingness to learn LangGraph, CrewAI, Semantic Kernel, or the Claude Agent SDK
Strong verbal and written communication skills and collaborative mindset
Coursework, personal projects, or internship experience involving prompt engineering, RAG, or vector databases
Exposure to Java/Spring Boot or Python, Kafka, AWS or GCP, Docker/Kubernetes, CI/CD, and backend databases such as Spanner or Postgres (nice to have)
Interest or coursework in retail, e-commerce, supply chain, or inventory problem spaces (nice to have)
Open-source AI contributions or personal LLM application experimentation (nice to have)

Benefits

Comp & perks

Medical/Vision
Dental
Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount
EAP Resources
Performance-based incentives/bonuses may be available
401k
PTO accruals
Holidays