Staff Software Engineer - AI Engineering (Remote)

TL;DR

Staff Software Engineer (AI Engineering): Defining the technical direction of AI systems, shaping architecture, design patterns, and reliability practices across multiple product surfaces. Focus on building safe, scalable, and explainable AI systems and driving innovation responsibly.

Location: Remote positions open to the US only.

Salary: $170,000 - $200,000

Company

hirify.global's AI-driven Human Risk Management platform empowers over 70,000 organizations worldwide to strengthen their security culture and transform their workforce.

What you will do

• Define and evolve the technical vision for AI and agentic systems across products.
• Design orchestration, data, and serving patterns that handle global scale with reliability.
• Collaborate with AI Research to turn prototypes into extensible, governed production frameworks.
• Mentor engineers, lead design reviews, and guide cross-team engineering initiatives.
• Establish best practices for observability, testing, and secure, explainable AI systems.

Requirements

• 9+ years of experience designing and operating large-scale, distributed, or AI-driven systems.
• Proven technical leadership defining architecture and design patterns across multiple teams or domains.
• Expertise in Python and backend/API frameworks such as FastAPI or Flask.
• Deep understanding of cloud-native architecture (AWS preferred), event-driven systems, and distributed scalability, leveraging CI/CD and infrastructure-as-code (we use GitLab and Terraform).
• Experience building or integrating AI/ML platform features - model serving, orchestration, vector search, or MLOps frameworks.

Nice to have

• Experience designing agentic or retrieval-based architectures at scale.
• Strong experience in observability, reliability, and incident response.

Culture & Benefits

• Build AI that protects people, not just data.
• Collaborative culture with small, high-ownership teams that ship fast and learn together.
• Modern stack: Bedrock, LangGraph, FastAPI, PyTorch.
• Budgets for certifications, conferences, and dedicated exploration time.
• Transparency and trust with radical candor, low ego, high accountability.
• Your work will help protect users across 70,000+ organizations.