Staff Software Engineer (AI/LLM)

TL;DR

Staff Software Engineer (AI/LLM): Leading the development and optimization of a large-scale conversational AI platform and agent provisioning with an accent on AI prompt effectiveness, RAG patterns, and LLM integration. Focus on driving technical vision for workflow and backend optimization, ensuring system availability, performance, and scalability for AI-driven products.

Location: Remote Eligible within the US. Must live in a state where hirify.global, Inc. has a registered entity.

Salary: $204,000–$255,000 USD

Company

hirify.global is a product company connecting hosts and guests globally, providing unique stays and experiences.

What you will do

• Collaborate with cross-functional teams to develop backend systems and enhance AI prompt effectiveness.
• Drive technical vision and strategy for workflow and backend optimization.
• Lead and contribute to the full development cycle: design, implementation, testing, and deployment.
• Participate in code and design reviews, providing constructive feedback.
• Optimize system availability, performance, and scalability.

Requirements

• 9+ years of software development experience in service-oriented architectures and backend development.
• Expertise in workflow optimization and scalable backend systems.
• Expertise in designing and iterating on prompt engineering for AI/LLM-driven scenarios.
• Expertise in RAG patterns, memory routing, agent planning, and integrating LLMs with APIs, vector databases, and orchestration frameworks.
• Proficiency in crafting backend systems focusing on technical quality, efficiency, and resilience.
• Excellent collaboration and communication skills.
• Bachelor’s, Master’s, or Ph.D. degree in Computer Science, or equivalent experience.

Culture & Benefits

• Commitment to inclusion and belonging, fostering diverse ideas.
• Disability inclusive application and interview process with reasonable accommodation.
• Eligibility for bonus, equity, benefits, and Employee Travel Credits.
• Passion for agile development and system optimization.