[Agentic AI] AI Systems & Edge Runtime Software Engineering

AI in this role

langchainlanggraphautogensemantic-kernel

rag

Description -

Build What's Next in Agentic AI and Intelligent Computing at HP

At HP, we're bringing together engineers, architects, software experts, and technology leaders to help shape the future of intelligent, secure, and high-performance computing.

We're building a new Agentic AI team in Taipei focused on next-generation AI PC platforms, intelligent runtime systems, advanced platform software, and AI-powered experiences. This growing team will work across AI systems, operating systems, firmware, platform architecture, software engineering, data intelligence, quality engineering, and user experience.

We're looking for people who want to solve complex problems, push what's possible, and help build the technologies that will define the next generation of AI-powered experiences. Whether your expertise is in AI systems, platform software, operating systems, firmware, technical program leadership, quality engineering, data science, or product experience, you'll have the opportunity to work on technologies that influence future products, customer experiences, and platform innovation.

If you're working at the intersection of AI, hardware, software, architecture, data, or intelligent systems, we'd love to hear from you.

Explore opportunities and join us in building what's next at HP.

For AI Systems & Edge Runtime Software Engineering talents, you will build intelligent AI systems, agentic runtimes, and next-generation AI platform capabilities for AI PCs and edge computing.

Potential Opportunities

Qualified candidates may be considered for roles including:

Senior AI Systems Engineer
Senior AI Systems Engineer, Workload Placement & Resource Optimization
AI Model & Orchestration Engineer
Senior Agentic AI Platform Engineer
Context Intelligence Engineer
Concepts Software Engineer

Areas You May Work On

Agentic AI & Multi-Agent Systems
AI Runtime Platforms
Edge AI & AI PC Technologies
Workload Placement & Optimization
Memory & Context Management
LLM Inference Systems
RAG & Retrieval Systems
AI Model Orchestration
AI Platform Enablement
AI Performance & Telemetry

Minimum Qualifications

Bachelor's, Master's, or equivalent degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Artificial Intelligence, Data Science, or related fields.
Typically 8+ years of software engineering, AI engineering, platform engineering, systems engineering, or related experience.
Strong experience with Python and/or C++.
Experience designing, building, or deploying production software systems.
Ability to collaborate effectively across global engineering teams

Ideal Background

AI Systems
AI Infrastructure
AI Runtime
LLM Applications
Agentic AI
Semantic Kernel
LangGraph
AutoGen
LangChain
Distributed Systems

Location Requirement

Candidates must perform the job in Taipei, Taiwan and be authorized to work in Taiwan.

Not a Perfect Match?

If your experience includes AI infrastructure, cloud AI platforms, distributed systems, intelligent software platforms, or emerging AI technologies, we encourage you to apply. We may consider you for multiple opportunities across our growing organization.

#LI-POST

Job -

Software

Schedule -

Full time

Shift -

No shift premium (Taiwan)

Travel -

Relocation -

Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

How we rate this

[Agentic AI] AI Systems & Edge Runtime Software Engineering at HP rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGLangChainLangGraphAutoGenSemantic Kernel

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through how you've used LangChain in your day-to-day work.
What are the limits of LangGraph that you've run into, and how did you work around them?
What's a project where you used AutoGen hands-on?
Walk me through how you've used Semantic Kernel in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, LangChain, LangGraph, AutoGen, and Semantic Kernel. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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