Senior Software Engineer, PDX
Intuit · Posted Oct 30
Financial, accounting, tax preparation, and marketing automation software services
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About the role
This role sits on Intuit's Core Platform Framework team, which builds ARP — an evaluation platform that determines whether internal platforms are "agentic-ready" for end-to-end AI agent development. The engine normalizes top use cases, spawns agents in virtualized environments, executes their plans, auto-files issues for friction points, and re-runs checks on every CI/CD deploy. The engineer will work on agent orchestration, LLM tooling, model routing and cost efficiency, telemetry, and the friction detection pipeline.
What you will do
- Core platform architecture: build and evolve the virtualization/harness layer, the agent plan-then-execute engine, and the friction detection and auto-ticketing pipeline.
- Model orchestration and cost efficiency: implement dynamic, step-level orchestration, replacing single static models, that routes tasks to cost-effective models (open-source and Claude), tracking cost and performance per step.
- Telemetry and auditability: build scalable logging, cost and telemetry systems so every agent run is fully auditable and cost-accountable.
- Use-case normalization: contribute to technical standards that make use cases agent-readable across differently documented capability platforms.
- Cross-team collaboration: partner with capability, operations and adjacent platform teams on friction reporting, PRD-to-action pipelines, RAG-backed architecture context and OPA policy validation.
- Roadmap leadership: help deliver the roadmap from foundational tooling (plugins, RBAC, alerting) to automation (auto-fix agents, continuous re-runs) and governance visibility.
- Mentorship and standards: mentor junior engineers and contribute to engineering standards through design reviews, architecture documentation and hands-on contributions.
Skills used in this role
What the employer is looking for
- 7+ years of software engineering experience, focused on distributed systems or developer platforms.
- Hands-on experience building or operating LLM-agent systems: orchestration loops, tool use, plan-and-execute patterns.
- Strong systems programming background (Python, Java) with virtualization, sandboxing or IaC experience.
- Proficiency in Python, Java, Spring Boot, GraphQL and React.
- Applied AI and prompt design skills for reliable, cost-aware LLM behavior.
- Proven ability to lead projects and influence technical direction within and across teams.
- Comfort with ambiguity in a research-driven, next-generation engineering environment.
Preferred qualifications
- Building or contributing to LLM or agent evaluation and benchmarking frameworks.
- Policy-as-code, RAG pipelines or vector databases for enterprise agent grounding.
- Cost and token optimization, and multi-model routing.
- Experience with internal developer tools (CI/CD, ticketing automation, developer portals).
Benefits and support
- cash bonus
- equity rewards
About Intuit
Intuit is a leading global financial technology platform that provides software solutions including TurboTax, QuickBooks, Credit Karma, and Mailchimp. The company serves consumers, small businesses, and accounting professionals with tools for tax preparation, financial management, payroll, credit monitoring, and marketing. Intuit focuses on leveraging artificial intelligence and automated workflows to fuel financial success for tens of millions of customers worldwide.
- Industry
- Financial Technology
- Company size
- 10001+ employees
- Founded
- 1983
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Leadership
Chairman & Chief Executive Officer
Executive Vice President & Chief Financial Officer
Executive Vice President & Chief Technology Officer
Executive Vice President & General Manager, Small Business & Mid-Market Group
Executive Vice President & General Manager, Consumer Group
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