- Design, develop, and improve scalable infrastructure to support the next generation of AI applications
- Drive improvements in architecture, performance, and reliability
- Collaborate across hardware, software, and research teams
- Stay informed of the latest advancements in AI infrastructure
Requirements
- MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related technical field
- 5+ years of hands-on software engineering experience building production-grade software systems
- Demonstrated experience shipping AI/LLM-powered applications, agents, or automation workflows into real production environments
- Strong Python engineering skills
- Ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools
- Practical experience building LLM-powered agents or agentic workflows
- Solid software engineering fundamentals and production mindset
- Ability to identify repetitive, high-friction, or knowledge-intensive workflows and turn them into practical AI-enabled tools
- Demonstrated end-to-end ownership of engineering solutions
- Excellent communication skills and a collaborative, proactive approach.
Core Competencies
Demonstrates expertise in designing and developing scalable AI infrastructure, with a strong focus on Python engineering and production-graded software systems. Proven ability to collaborate across teams and drive improvements in architecture, performance, and reliability of AI applications.
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