Senior AI Software Engineer - HP IQ

HPSan Francisco, CA
1d

About The Position

The AI team is building cutting-edge solutions that bring the power of AI directly to edge devices while seamlessly integrating with cloud infrastructure. We are looking for a Senior Software Engineer to design and develop high-performance, scalable services to support AI workloads across edge and cloud environments.

Requirements

  • 5+ years of experience in backend software development, with strong proficiency in Java, C++, or Python.
  • Proficient 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.
  • Experience building distributed systems, microservices, and cloud-native applications.
  • Strong knowledge with building secure, privacy-aware interfaces between models, devices, and external services.
  • 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.

Nice To Haves

  • Experience with AI model deployment and integration into backend services.
  • Knowledge of edge computing, networking, and security best practices.
  • Exposure to cloud-edge hybrid architectures and distributed AI workloads.
  • Familiarity with on-device AI frameworks such as TensorFlow Lite, ONNX Runtime, or CoreML.

Responsibilities

  • 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.
  • Implement security and privacy best practices for distributed AI systems.
  • 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.
  • Develop robust logging, monitoring, and alerting systems to ensure system reliability.

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
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