Principal Platform Software Engineer

What You’ll Do

• Define and drive the technical vision, architecture, and design for AI Agent Platform capabilities, at scale leveraging OCI.

• Design reusable platform services, APIs, SDKs, and frameworks that enable product teams across HDI to rapidly build and operate AI-powered applications and autonomous agents.

• Establish best practices for AI system scalability, reliability, evaluation, safety, security, cost optimization, and operational excellence.

• Lead cross-organizational technical initiatives and collaborate with data scientists, software engineers, and business stakeholders, to deliver impactful AI-powered solutions.

• Mentor engineers on the team, raising the overall technical bar through design reviews, technical guidance, and engineering best practices.

• Stay current with advancements in AI/ML, including LLMs, RAGs, agentic systems, and emerging AI technologies, incorporating relevant innovations into platform capabilities and engineering practices.

• Participate in the operation of production services, including on-call responsibilities, incident response, and driving improvements to reliability, observability, and operational excellence.

Qualifications

• 8+ years of technical experience relevant to this position.

• BS or MS in Computer Science, or equivalent.

• High level of fluency with a modern programming language such as Java, C#, C++ and/or Python

• Deep understanding of modern cloud infrastructure and platform technologies, including Ray, Kubernetes, container orchestration, CI/CD, service discovery, secrets management, and software-defined networking.

• Experience designing and operating large-scale distributed systems and cloud-native platforms serving mission-critical workloads.

• Experience in ML and Generative AI systems, including building and operating production AI platforms with AI agents, LLMs, RAG architectures, vector databases, and ML Ops capabilities.

• Demonstrated ability to influence technical direction and drive execution across multiple teams without direct authority.

• Strong written and verbal communication skills, including the ability to author technical proposals, design specifications, architecture documents, and executive-level presentations.

• Self-driven and accountable, with a proven ability to deliver complex software systems while collaborating effectively across engineering, product, and business teams.

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