Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (AI): Building and maintaining high-performance inference infrastructure for Claude models with an accent on compute efficiency, distributed orchestration, and request routing at scale. Focus on addressing critical infrastructure blockers across diverse AI accelerators, optimizing performance, and enabling breakthrough research in next-generation model development.

Location: Must be based in Dublin, Ireland; Hybrid policy requires at least 25% of the time in the office.

Salary: €295,000 - €355,000 EUR

Company

hirify.global is an AI safety and research company building reliable, interpretable, and steerable AI systems.

What you will do

• Develop and maintain large-scale inference systems serving millions of users.
• Optimize compute efficiency for inference across diverse AI hardware and cloud platforms.
• Design intelligent request routing and fleet-wide orchestration systems.
• Build deployment pipelines to release new models to production environments.
• Collaborate with scientists to provide the infrastructure needed for research breakthroughs.
• Analyze observability data to tune performance for real-world production workloads.

Requirements

• Significant software engineering experience with distributed systems.
• Proficiency in Python or Rust.
• Strong background in performance optimization and service orchestration.
• Ability to thrive in highly collaborative environments focused on technical excellence.
• Work authorization in Ireland or eligibility for visa sponsorship provided by the company.

Nice to have

• Experience with Kubernetes and cloud infrastructure (AWS, GCP).
• Familiarity with LLM inference optimization, batching, and caching strategies.
• Experience with load balancing and traffic management systems.
• Background in implementing and deploying machine learning systems at scale.

Culture & Benefits

• Competitive compensation with equity opportunities.
• Generous vacation and parental leave policies.
• Flexible working hours and a highly collaborative research-driven environment.
• Commitment to diversity, equity, and inclusion in AI development.
• Modern office space designed for team collaboration.