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# AI Software Engineer - HP IQ

- **Company:** HP IQ
- **Location:** San Francisco, CA, United States
- **Salary:** $127,000 - $175,000
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Databases, Memory Management, Python (Programming Language), NoSQL, Tensorflow, SQL Databases, Data Streaming, Cloud Platform System, Pytorch, Large Language Models, Multi-Agent Systems, Backend, Information Technology, ONNX (Open Neural Network Exchange) Format, Machine Learning Operations, Front End Software Development, Virtual Agents, Data Pipelines, Microservices
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/1_hpinc2-3163597

## About the Role

Data Science, Artificial Intelligence or related fields, + 1+ years of experience in backend software development, with strong proficiency in Python, Java, and C++. + Working knowledge in LLM integration into multi-agent systems with strong understanding of agent orchestration, tool use, and memory/context management. + Comfortable tinkering with LLMs via prompting and experienced with tools use, task decomposition, and structured outputs. + Familiarity with database management systems (SQL and NoSQL) and data streaming technologies. + Strong problem-solving skills and ability to work in a fast-paced, agile environment. **Preferred Skills** + Experience with AI model deployment and integration into backend services. + Exposure to cloud-edge hybrid architectures and distributed AI workloads. + Familiarity with on-device AI frameworks such as PyTorch, TensorFlow Lite, ONNX Runtime, or CoreML. Salary Range: $127,000 - $175,000 **Compensation & Benefits
(Full-Time Employees)** The salary range for this role is listed above.

## Description

We are looking for a Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments. **What You Might Do** + Contribute to design, build, and maintain services that power AI-driven applications, ensuring scalability and performance. + Develop APIs and microservices that facilitate seamless integration between cloud-based AI models and edge devices. + Optimize data pipelines and storage solutions for real-time AI inference and processing. + Work closely with AI researchers, infrastructure engineers, and frontend developers to deliver end-to-end AI-driven solutions. + Build and optimize an agent orchestration runtime that enables tool use, memory management, and multi-step reasoning across LLMs, APIs, and edge-connected systems. + Support the implementation of security and privacy best practices for distributed AI systems. **Essential Qualifications** + Requires at least, Masters in Computer Science, Engineering