招聘
必备技能
Software Engineering
AI/LLM Integration
Data Engineering
Agent Frameworks
System Design
The Vision
We believe that Software Engineering is the highest-leverage human workflow in the company. In an AI-native world, the bottleneck is no longer how fast we can type, but how quickly we can validate, iterate, and deploy. Engineering excellence is our ultimate competitive advantage. As a Senior Software Engineer for AI Assisted Engineering Support, you will build the "intelligence layer" for our development teams. You aren't just building tools; you are building agents that understand our codebase, our standards, and our intent. Your goal is to move the company toward a "Demo to Prod" reality where AI handles the boilerplate, the testing, and the initial PR generation, leaving humans to focus on architecture and high-level logic.
The Mission: Agentic Engineering
Consistent with our "Human Centric Workflows" philosophy, you will treat LLMs as programmable functions grounded in our specific codebase. You will build the specialized assistants that integrate into our IDEs and CI/CD pipelines to unblock developers, automate reviews, and ensure that "gold-standard" code is the default, not the exception.
What You’ll Do:
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Build AI Engineering Assistants: Develop and scale the internal agents that assist with code generation, automated refactoring, and documentation.
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Enable the "Demo to Prod" Pipeline: Work on the technical implementation of tools that allow for one-shot workflows—moving from a prototype or a spec directly to a production-ready Pull Request.
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Deterministic Engineering Evals: Drive quality by prioritizing determinism. You will build the serialization formats and retrieval systems (RAG) that give engineering agents the exact context they need from our repositories to be precise and useful.
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Automated Code Stewardship: Create agents that help maintain our "Immune System"—automated drift detection, visual regression testing, and security scanning for AI-assisted contributions.
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Systemic Optimization: Implement a culture of rigour. You will run experiments across different models and tools, using engineering-specific benchmarks to ensure our assistants are actually increasing velocity and quality.
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Global Collaboration: Partner with the US and Israel-based teams to integrate your assistants into our global developer platform and telemetry frameworks.
What We’re Looking For:
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The "Developer's Developer": You are a Senior Software Engineer who loves building tools for other engineers. You understand the pain points of the modern development lifecycle and want to solve them with AI.
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An Agentic Systems Specialist: You are experienced in building agentic flows (using state machines or agent frameworks) and know how to balance agency(allowing the tool to solve the problem) with precision (ensuring it doesn't break prod).
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The "Data-First" Builder: You recognize that an AI assistant is only as good as the context it receives. You are skilled at data engineering and know how to serialize complex codebases for LLM consumption.
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The "Moat" Builder: You see engineering velocity as a strategic differentiator. You are driven by the goal of making our engineering org so fast and reliable that we out-innovate the market.
The Reality of the Work:
This is a high-impact implementation role. You will be shipping code that your teammates use every single day. You’ll spend your time building IDE extensions, automating PR cycles, and ensuring that our AI-native operating model delivers a level of engineering speed that is fundamentally unreachable by traditional teams.
Join Us
We are reinventing the "How" of software development. If you want to be the engineer who builds the tools that change how every other engineer works, let’s talk.
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关于Navan

Navan
Series F+Navan is a corporate travel and expense management platform that combines travel booking, expense reporting, and payment solutions for businesses.
1,001-5,000
员工数
Palo Alto
总部位置
$9.2B
企业估值
评价
3.9
10条评价
工作生活平衡
3.5
薪酬
2.8
企业文化
4.2
职业发展
3.0
管理层
2.5
72%
推荐给朋友
优点
Flexible work hours
Great team and colleagues
Good culture and inclusive workplace
缺点
Poor compensation/salary
Heavy workload
Poor management and communication
薪资范围
42个数据点
Junior/L3
Mid/L4
Junior/L3 · Data Analyst
0份报告
$169,150
年薪总额
基本工资
-
股票
-
奖金
-
$143,778
$194,522
面试经验
2次面试
难度
3.5
/ 5
时长
14-28周
体验
正面 0%
中性 50%
负面 50%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
新闻动态
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4d ago
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4d ago