AI Software Engineer at HP IQ in San Francisco, CA

Summary: HP IQ is HP’s new AI innovation lab focused on creating intelligent technologies that redefine collaboration and productivity. The role of AI Software Engineer involves designing and developing high-performance services to support AI workloads across edge and cloud environments, while ensuring scalability and performance. Responsibilities: - 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 Required Qualifications: - Requires at least Masters in Computer Science, Engineering, 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 Qualifications: - 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 Required Skills: Python, Java, C++, LLM integration Important Skills: Database management, AI model deployment, Cloud-edge architecture Nice-to-Have Skills: Agile environment, On-device AI frameworks, Problem-solving Benefits: Health insurance, Dental insurance, Vision insurance, Long term/short term disability insurance, Employee assistance program, Flexible spending account, Life insurance, Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure, 11 paid holidays, Additional flexible paid vacation and sick leave (US benefits overview)