Software Development Engineer - AI Enablement

Auger Inc

Bellevue, WA

JOB DETAILS
SALARY
$150,000–$200,000 Per Year
SKILLS
Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Communication Skills, Computer Science, Data Sets, Database Design, Debugging Skills, Decision Support, ERP (Enterprise Resource Planning), Government Reporting, Government Requirements, Identify Issues, Machine Tool, Mathematics, Ontology, Operating Systems, Plan Meetings, Python Programming/Scripting Language, Refactoring, Risk Management, SLICE (Simulation Language with Integrated Circuit Emphasis), SQL (Structured Query Language), Scala Programming Language, Software Development, Software Engineering, Statistics, Supply Chain, Supply Chain Management, Warehousing, Workflow Analysis
LOCATION
Bellevue, WA
POSTED
30+ days ago

Software Development Engineer - AI Enablement

Bellevue

AI Enablement Engineering

In office

Full-time

Build at Auger

Auger is the autonomous operating system for supply chains. It connects enterprise supply chain systems-ERP, WMS, TMS-into a single data layer, then uses AI to detect problems, evaluate trade-offs, and execute decisions automatically. The platform eliminates the coordination tax: the time and capital lost when disconnected systems force humans to become the integration layer between planning and execution. Actions that previously required days of meetings and manual coordination happen in seconds, within constraints the customer defines.

Founded by Dave Clark and backed by $100M from Oak HC/FT. Headquartered in Bellevue, Washington.

About the Team & Role

Build the data foundation that powers Auger's Supply Chain OS, AI systems, and execution workflows.

Auger is building an operating system for supply chain teams. Our customers rely on Auger to understand reality and change it: reporting, AI-powered decision support, and write-back execution systems that operate at scale.

This role is data-centric software engineering at a very high bar: you own substantial parts of the transformation layer that turns messy, customer-shared data into a unified, production-grade ontology powering analytics, AI workflows, and execution systems.

This is not a "move data from A to B" role. You are expected to own semantic correctness, operability, and durability for the systems you touch-while working within platform standards and influencing improvements across the team.

What You'll Do

  • Own your slice of the data lifecycle (ingestion curated layers production-ready outputs), including medallion-style patterns and schema contracts, within guidance from senior engineers and platform conventions.
  • Practice test-driven habits for data: clarify correctness for the datasets you touch; add automated checks and regression coverage where it matters; turn bugs and incidents into fixes that stick.
  • Work in an agent-native style: use AI coding agents to move faster on investigation, SQL iteration, and refactors - paired with review, reproducible steps, and proof (tests, queries, invariants) before production.
  • Contribute to reusable patterns and tooling so the team can discover schemas, draft transforms, generate SQL faster, and troubleshoot with less one-off work.
  • Operate what you build: monitoring and alerting as appropriate, participating in incidents for your areas, executing backfills, and following through so issues do not repeat.
  • Reduce local complexity: simplify where you can, remove redundancy, and prefer shared approaches when they clearly reduce risk.
  • Partner with product, science, and platform teammates to clarify requirements, flag tradeoffs early, and deliver work that holds up beyond the first customer.

What You Bring

  • Degree in Computer Science, Mathematics, Statistics, or another data-intensive discipline (or equivalent practical experience).
  • 4+ years of professional development experience with strong hands-on SQL and Python in production (Spark or equivalent large-scale batch processing preferred; Scala/Flink/Beam a plus).
  • 3+ years in data work (structured and semi-structured), modern warehouses/lakehouses, and practical schema design in evolving domains - with hands-on experience in lakehouse/warehouse patterns, incremental processing, and basic performance/cost awareness.
  • Notebook fluency and the judgment to structure notebook work so it is reviewable and promotable.
  • Agent-native fluency with verification: you treat generated SQL/pipelines as proposals until proven.
  • Ownership mindset: you debug methodically, drive work to completion, connect your work to customer outcomes, and leave the codebase better than you found it.
  • Clear communication and collaboration; you can drive a feature or multi-step project in your domain, seek input on design, and incorporate feedback.
  • A plus if you have experience in supply chain, planning, or fulfillment domains.

Compensation & Benefits

As part of our commitment to People Powered Greatness, we invest in our team members with competitive compensation and a comprehensive benefits to support your health, financial future, and daily life. The package includes medical, dental, and vision coverage, a 401(k) with company match, and commuter benefits. Total compensation may include a combination of a competitive base salary and equity. Your initial placement within our salary range will be based on your experience, qualifications.

The base pay range for this role is $150,000 - $200,000 per year.

Auger considers all qualified applicants for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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Req ID: R65

About the Company

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Auger Inc