Senior AI Software Engineer - HP IQ
HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.
We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.
We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.
By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.
Join us as we reinvent work, so people everywhere can do their best work.
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.
What You Might Do
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.
Essential Qualifications
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.