Senior Applied AI Engineer - Agentic Systems

Senior Applied AI Engineer Agentic Systems

Location: Mountain View, CA

Job Description
Agentic Feature Development & Full Stack Delivery
* Design, build, and ship agentic features directly within EAS - autonomous workflow agents, multi-step task orchestration, tool-calling loops, and human-in-the-loop interaction patterns
* Own agentic features end to end - from architecture and implementation through testing, hardening, and production deployment
* Identify high-value automation opportunities within EAS workflows and translate them into well-scoped, shippable features
* Integrate new agentic capabilities cleanly into an existing product codebase without disrupting existing functionality
* Own the full stack of agentic feature delivery - backend orchestration, API integration, and front-end surfaces that expose agent capabilities to enterprise users
* Build RAG pipelines over structured and unstructured data to power intelligent retrieval, decision support, and workflow automation within EAS
* Build memory and state management systems that allow agents to maintain context across multi-step, long-running workflows
Agentic AI - Core Requirement
* Build production-grade agentic systems with the reliability, observability, and failure handling that enterprise software demands
* Design evaluation harnesses to continuously test agent accuracy, behavioral consistency, and edge case handling
* Build guardrails, fallback logic, and escalation patterns that ensure agents degrade gracefully and keep users in control
* Instrument agentic features with logging, tracing, and monitoring to observe agent behavior in production and iterate with confidence
* Participate in architecture and design reviews - contributing agentic expertise and maintaining quality standards across short delivery cycles
* Contribute to shared agentic patterns and reusable components that raise the capability baseline for the broader EAS engineering team
* Define and implement evaluation frameworks to measure agent accuracy, task completion, and behavioral consistency across diverse inputs and edge cases
* Experience with both automated eval pipelines (unit-level tool call testing, end-to-end trace evaluation) and human-in-the-loop review workflows for validating agent outputs in production

Required Experience
* Demonstrated hands-on experience building agentic AI capabilities inside a product - multi-step orchestration, tool-calling agents, memory systems, and human-in-the-loop flows used by real users in production
* Deep familiarity with agent frameworks - LangGraph, Anthropic SDK, OpenAI Agents SDK, CrewAI, AutoGen, or similar - applied in product feature delivery, not research
* Strong understanding of agentic design patterns: planning loops, tool registries, context window management, agent state machines, and failure handling
* Experience building and integrating RAG pipelines into product workflows
* Experience building production guardrails and evaluation frameworks for agentic features
* Strong full-stack engineering skills with production experience in Python and/or TypeScript
* 5+ years of full-stack software engineering with a strong shipping record
* 1+ years of hands-on experience building agentic AI features in production products

Preferred
* Experience integrating agentic capabilities into SaaS or fintech products at scale
* Familiarity with Intuit's developer platform or QuickBooks APIs
* Exposure to regulated or high-accuracy domains where agent reliability and auditability are non-negotiable