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Staff Agentic AI Engineer - People Places and Workforce Tech Multiple Locations
mountain view
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On-site
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Full-time
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2w ago
The Intuit T4I (Tech for Intuit) team is responsible for building Intuit’s core capabilities supporting enterprise Workforce, People, and Places technologies. Our stakeholders include HR, Facilities, IT, segment business unit leaders, and all Intuit employees and expert workforce. The T4I engineering organization partners closely with product, design, and platform teams to deliver primarily internal services that improve productivity and employee experience across Intuit.
As a Staff ( Software | ML) Engineer, you will play a critical role in designing, building, and scaling AI-powered agents and copilots that support Intuit’s workforce. This role is focused on applied AI systems, not research—delivering production-ready agent architectures that integrate with enterprise systems and workflows.
You will help define how and where AI agents add real value, making thoughtful tradeoffs between LLM-based approaches, traditional ML techniques, and simpler heuristic or rules-based solutions. You will work across backend services, AI platforms, and conversational interfaces to enable intelligent automation at scale.
This role is well suited for senior backend engineers with strong AI systems experience or ML engineers with strong software engineering foundations who are excited about building end-to-end agentic systems.
If you have a bias for action, enjoy operating in ambiguity, and are motivated by building practical AI solutions that drive measurable business impact, this role may be a great fit.
Responsibilities
Own End-to-End AI Systems: Take solutions from concept to production—including model selection, prompt and context design, retrieval strategies, backend services, and conversational interfaces.
Qualifications
Hands-on experience designing and deploying AI systems using large language models (LLMs) in real-world applications.
- Retrieval-Augmented Generation (RAG) pipelines
- Agent frameworks and orchestration patterns
- Model Context Protocol (MCP) servers or equivalent tool-use / function-calling architectures
- Conversational or chat-based interfaces (internal tools, copilots, or assistants)
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $184500 to $266,500
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About Intuit
Reviews
3.6
9 reviews
Work Life Balance
3.8
Compensation
3.2
Culture
3.1
Career
3.7
Management
3.0
65%
Recommend to a Friend
Pros
Flexible schedule and work independence
Good benefits and 401k match
Supportive teammates and collaboration
Cons
Management issues and favoritism
High pressure and quotas
Poor communication and politics
Salary Ranges
91 data points
Junior/L3
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
5 reports
$150,492
total / year
Base
$115,763
Stock
-
Bonus
-
$138,970
$163,540
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 86%
Negative 0%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
Live Coding Interview
4
Case Study/Technical Assessment
5
Behavioral Interview
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Case Study
System Design
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