2 hours ago
Responsibilities
- Partner with business and technology stakeholders to translate ambiguous problems into agentic solutions with measurable success criteria.
- Design and build production agentic solutions across orchestration, tool-use pipelines, and enterprise-system integrations.
- Own solution architecture spanning multiple engineers’ work and account for upstream and downstream integration needs.
- Apply context engineering, retrieval patterns, structured retrieval, and dynamic prompt assembly while balancing token economics, latency, and decision quality.
- Develop evaluations, safety guardrails, offline benchmarks, online telemetry, and failure-mode analyses for LLM-based systems.
- Architect short-term context, long-term memory, conversation state, and durable workflow state for agents.
- Integrate LLM APIs, embedding models, vector stores, and agentic frameworks into production services.
- Make technical trade-offs involving delivery, scalability, framework selection, model selection, and infrastructure costs.
- Define metrics, evaluations, and observability patterns and drive accountability for performance, cost, accuracy, and security.
- Lead design and code reviews, mentor junior engineers, participate in hiring interviews, and contribute to engineering and security standards.
Requirements
- 6+ years of professional software engineering experience designing and delivering complex, scalable distributed systems.
- Hands-on production experience with LLMs, foundation model APIs, prompt engineering, retrieval-augmented generation architectures, and embedding-based search.
- Experience designing, building, and operating AI agents or agentic workflows in production, including tool use, orchestration, and downstream integrations.
- Strong understanding of assembling, pruning, and structuring agent context within token, latency, and cost constraints.
- Experience designing evaluation frameworks and safety guardrails for LLM-based systems, including offline benchmarks, online telemetry, and responsible deployment.
- Familiarity with agent memory patterns, vector stores, conversation state, and durable workflow state.
- Hands-on experience with agentic frameworks such as Claude Agent SDK, LangGraph, AutoGen, CrewAI, Semantic Kernel, or OpenAI Assistants API.
- Familiarity with multi-agent orchestration, task decomposition, tool-use pipelines, and human-in-the-loop workflows.
- Product-minded engineering approach with strong user-impact instincts and the ability to translate business intent into agentic capabilities.
- Proficiency in Python and strong familiarity with multiple technology stacks and cloud-native development on AWS and/or GCP.
- Experience collaborating with product, business, infrastructure, and security stakeholders.
- Strong verbal and written communication skills for explaining technical decisions to technical and non-technical audiences.
- Experience with Agile development approaches such as Scrum, Kanban, or Lean.
- Bachelor’s or master’s degree in Computer Science, Engineering, or equivalent practical experience.
- Preferred experience with event-driven architectures, backend databases, Kubernetes, Docker, CI/CD tools such as GitLab, observability systems, retail or e-commerce domains, Spark, BigQuery, Redshift, production ML integrations, and open-source AI projects.
Benefits
- Medical, vision, dental, retirement, paid time away, life insurance, disability coverage, merchandise discounts, and EAP resources.
- 401(k), PTO accruals, holidays, and additional insurance options, subject to eligibility requirements.
- The position may be eligible for performance-based incentives or bonuses.
- Hybrid position based in Seattle, Washington.
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About Nordstrom
At Nordstrom, we empower our employees to set their sights high and blaze their own trails. This is a place where your success and growth are truly a result of your own efforts and achievements. Our teams are made up of motivated people who work hard to become leaders within the company, at all levels of the organization. These well-traveled paths show how hard work, loyalty, a competitive spirit and your unwavering commitment to the customer can take you and your career to new places. In addition to being a great place to have a career, we’re also committed to respecting the environment and supporting our communities. To learn more, check out NordstromCares.com. Interested in joining the Nordstrom team? See some of our current opportunities under our Careers tab or visit careers.nordstrom.com to apply today.