Staff AI Engineer (AI)

TL;DR

Staff AI Engineer (AI): Designing, evolving, and scaling enterprise AI platforms and capabilities with an accent on agentic AI, LLM platforms, and RAG pipelines. Focus on building production-grade distributed AI systems, optimizing vector search, and establishing governance guardrails for enterprise-scale AI.

Location: Remote (Must be based in the USA)

Salary: $169,400 - $254,100 Annually

Company

hirify.global provides a complete cloud analytics and data platform for AI, empowering top global companies to make confident, data-driven decisions.

What you will do

• Lead the design and evolution of large-scale, distributed AI systems and AI-native products.
• Own end-to-end architecture for agentic workflows, RAG pipelines, vector search, and semantic retrieval.
• Implement production-grade AI systems using LLMs, embeddings, vector databases, and AI orchestration frameworks.
• Define and implement guardrails for reliability, safety, governance, and cost control in enterprise AI.
• Partner with product management, architecture, and research teams to translate requirements into scalable solutions.
• Mentor senior and staff engineers while driving technical standards and architectural consistency.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 8+ years of experience building backend services, distributed systems, or data/AI platforms.
• Strong proficiency in Java, Go, or Python for building large-scale services.
• Deep understanding of distributed system design, scalability, and cloud-native architectures.
• Proven experience designing and operating production systems with SQL and NoSQL data stores.
• Must be authorized to work in the USA.

Nice to have

• Experience with LLMs, embeddings, vector databases, and AI orchestration frameworks.
• Exposure to agentic AI patterns such as tool calling, planning, memory, and multi-step reasoning.
• Experience operating AI systems in cloud environments (AWS, Azure, or GCP).
• Familiarity with Kubernetes, Docker, CI/CD pipelines, and production-grade observability.

Culture & Benefits

• Flexible work model emphasizing trust and autonomy.
• Comprehensive benefits including healthcare, life, and disability insurance.
• 401(k) retirement savings plan.
• Annual incentive plans based on individual and company performance.
• Inclusive environment focusing on employee well-being and personal growth.