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Senior Software Engineer, Distributed Agentic AI Systems
HP · Houston, TX
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What HP asks for
From HP's Senior Software Engineer, Distributed Agentic AI Systems ad, checked 5 Nov 2026.
AI agent prototyping
Building AI agents and software prototypes through work, personal projects, or open-source work, moving through development cycles of 3 to 4 weeks.
Python, Linux, and APIs
Programming in Python within Linux environments to integrate software components using JSON and APIs.
Agentic and LLM frameworks
Hands-on work with tools such as LangChain, RAG, vLLM, or llama.cpp for agentic systems and LLM inference.
Distributed and edge computing
Experience with edge devices, workload orchestration, network offloading, or connecting AI agents to distributed environments.
Experiment scoping and reporting
Setting the scope for experiments, testing assumptions, and explaining technical findings and customer value to stakeholders.
The ad asks for a bachelor's degree or practical equivalent. HP encourages candidates with 2 to 4 years of experience to apply. Based in Houston, TX.
How the example answers the ad
Four of the five requirements above, each matched to a line in the example.
AI agent prototyping
“Led 4-week sprint cycles to prototype AI agents for automated hardware diagnostic workflows.”
Leading four week sprint cycles to build prototypes for hardware diagnostics shows experience managing the specific development timelines required for AI agent prototyping.
Agentic and LLM frameworks
“Deployed vLLM instances across 12 Linux server clusters to support high-throughput inference.”
Deploying vLLM across 12 server clusters shows hands-on work with specialized LLM frameworks to support inference at scale.
Distributed and edge computing
“Optimized network offloading strategies that improved data throughput for edge devices by 20 percent.”
Improving throughput by 20 percent through network offloading for edge devices shows experience with the networking challenges inherent in distributed and edge computing.
Python, Linux, and APIs
“Developed Python-based scripts to automate JSON parsing for legacy network management APIs.”
Using Python to automate parsing for JSON payloads and network APIs shows the ability to integrate software components through common data protocols.
The whole example as text
Andre Johnson · Senior Software Engineer
Summary
Senior Software Engineer with 4 years of professional experience building AI agent prototypes and distributed systems. Develops scalable LLM workflows using Python and LangChain for edge device monitoring environments. Orchestrates 4-week sprint cycles to test new orchestration frameworks and optimize inference latency. Communicates technical findings to stakeholders to drive product strategy for intelligent software deployments.
Experience
Senior Software Engineer · NVIDIA
Santa Clara, CA · 2025 - Present
- Engineered agentic workflows using LangChain that reduced query processing time by 35 percent.
- Deployed vLLM instances across 12 Linux server clusters to support high-throughput inference.
- Led 4-week sprint cycles to prototype AI agents for automated hardware diagnostic workflows.
- Optimized network offloading strategies that improved data throughput for edge devices by 20 percent.
- Presented experimental performance metrics and RAG optimization results to cross-functional engineering teams.
Software Engineer II · Cisco
San Jose, CA · 2024 - 2025
- Developed Python-based scripts to automate JSON parsing for legacy network management APIs.
- Refactored distributed system components to handle a 50 percent increase in concurrent device telemetry data.
- Collaborated with product managers to scope 4-week testing phases for new ingestion microservices.
- Resolved critical bugs in real-time monitoring software, improving system uptime to 99.99 percent.
- Documented API integration patterns that reduced developer onboarding time by 15 hours per hire.
Software Engineer I · Intel
Santa Clara, CA · 2023 - 2024
- Integrated llama.cpp for local language model inference on prototype edge computing hardware.
- Managed JSON data pipelines between IoT sensors and cloud-based analytical dashboards.
- Automated deployment workflows within Linux environments to accelerate testing cycles by 40 percent.
- Authored technical reports on LLM performance trade-offs for embedded systems.
- Contributed to internal open-source repositories focused on modular RAG architecture projects.
Junior Software Engineer · Western Digital
San Jose, CA · 2022 - 2023
- Wrote Python scripts to support automated unit testing for storage firmware controllers.
- Participated in daily standups and sprint planning to track project milestones and task velocity.
- Debugged API connectivity issues in edge computing environments using Wireshark and custom logging tools.
- Implemented data validation layers to improve integrity of JSON payloads between subsystems.
- Supported deployment of containerized services to internal Linux-based test environments.
Education
Master of Science in Computer Science · University of California, Berkeley
Berkeley, CA · 2020 - 2022
- Completed thesis on distributed computing architectures and network offloading protocols.
- Graduated with 3.9 GPA and received the Departmental Excellence Award.
- Served as a graduate researcher for the AI Systems Lab focused on local LLM training.
Bachelor of Science in Software Engineering · San Jose State University
San Jose, CA · 2016 - 2020
- Maintained Dean's List status for 8 consecutive semesters.
- Participated in the Senior Design Project focused on JSON-based API integration for hardware sensors.
- Completed coursework in Operating Systems, Database Management, and Advanced Data Structures.
Skills
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Frequently asked questions
Is the example from an employee?
No. It is an AI-written example for this ad, made to show how a resume can answer it.
Do I need a specific number of years of experience?
No. The ad notes that building ability is more important than years of experience, though it suggests candidates with 2 to 4 years of experience apply.
What kind of projects count as experience?
You can demonstrate your ability through your professional career, personal side projects, or contributions to open-source software.
Where do I apply?
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