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Principal Software Development Engineer - Business to Agent

Job in Spokane Valley, Spokane, Spokane County, Washington, 99201, USA
Listing for: Traveltechessentialist
Full Time position
Listed on 2026-06-03
Job specializations:
  • Software Development
    AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: Spokane Valley

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

In this role, you will:

Set technical vision for agentic marketing and own the outcomes

  • Lead technical vision and own the target architecture for the agentic marketing platform - spanning data, services, workflows, experimentation, third‑party APIs, and agent‑facing surfaces - partnering closely with the agentic search lead, who owns channel strategy and outcomes.
  • Translate the agentic search strategy and investment roadmap into a sequenced, opinionated engineering plan with clear trade‑offs and success criteria.
  • Partner with product, marketing, data science, SEO/AEO, and architecture leaders to align on priorities, interfaces, and ownership boundaries.
  • Work cross‑functionally with many internal and external teams to deliver outcomes with proven ability to influence without direct authority.

Build agent legibility & access

  • Design and ship systems that make EG content, reliably machine‑readable and preferred for different agent archetypes (horizontal agents, agentic commerce, browsers, co‑workers).
  • Extend marketing surfaces beyond traditional web indices into agent‑specific indices, model training data, live retrieval, and memory infrastructure.
  • Create and evolve products designed for specific agent archetypes and crawlers - including agent‑specific surfaces, indices, and CLIs.
  • Build 0‑to‑1: stand up the first measurement, agent‑observability, data/content, and agent‑specific products (CLIs, indices, agents).
  • Architect engineering workflows around fleets of autonomous coding agents and sub‑agents, treating orchestration of agent labor - not just personal output - as the core leverage model.
  • Ensure high‑quality Agent Access via APIs, MCPs, feeds, and other integration points, including authorization, observability, and SLOs.
  • Lead the design of observability and experimentation to understand how agents reason (e.g., chain‑of‑thought logging, ranking signals, bias analysis).

Anchor a small and focused engineering squad

  • Serve as the technical anchor for a small, ring‑fenced squad (STL + engineers), setting engineering standards, reviewing designs, and making crisp architectural calls while working closely with the broader engineering team.
  • Coach and mentor engineers across Marketing Tech and adjacent orgs, raising the bar on system design, AI integration, experimentation, and operational excellence.
  • Foster an AI‑native, zero‑coordination tax culture that uses automation and agents to amplify output and move quickly, with failure as a design principle.
  • Ensure systems are observable, resilient, secure, and cost‑efficient, with clear SLOs and runbooks.
  • Operate with a highly discretionary build budget - pre‑approved token consumption, AI vendor adoption, and unconventional experimentation (e.g., dedicated hardware for synthetic agent‑log generation) - and spend it to maximize speed.
Minimum qualifications
  • 10+ years of hands‑on software engineering experience (or 6+ with a Master’s)
  • Hands‑on experience with agentic / AI systems (LLMs, RAG, tools/MCPs, agent orchestration)
  • Demonstrated expertise in systems architecture, API design, and integrating third‑party products and platforms
  • Product sense, ability to reason about what to build and for whom, prioritize on desirability / feasibility / viability, and partner with product as a peer
  • Strong proficiency in at least one modern backend language (e.g.,…
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