Senior AI Engineer

Location: Remote across North America; positions are also hired for in the San Francisco office.

Company

hirify.global builds an intent-aware workspace security platform that protects human and AI-driven work by analyzing behavior and intervening at moments of risk.

What you will do

• Take AI models and algorithms from research into production, including reimplementing them in Python, C++, Java, or other systems languages and verifying parity.
• Own deployed models through retraining, monitoring, evaluation, and production support.
• Design evaluation frameworks and release gates to identify regressions and determine when models are safe to ship.
• Build model-quality monitoring, drift detection, retraining triggers, and ground-truth strategies for unlabeled data.
• Optimize inference for endpoint and cloud environments using quantization, distillation, batching, and caching.
• Build training, experimentation, CI/CD, and cloud-to-endpoint pipelines for behavioral models.

Requirements

• Experience owning and designing complete systems end to end.
• Production experience training, evaluating, and deploying models; integrating LLM APIs alone is insufficient.
• Ability to understand the mathematics and logic of existing algorithms and convert them into tested production code.
• Strong model evaluation skills, including regression analysis and production-readiness assessment.
• Strong Python skills plus at least one systems or backend language: C/C++, Java, Rust, or Go.
• Comfort defining problems and working independently in ambiguous environments.

Nice to have

• Experience with edge or resource-constrained inference using ONNX Runtime, llama.cpp, Core ML, TensorRT, OpenVINO, or similar tools.
• Experience operating data or inference pipelines at scale and balancing cost, latency, memory, CPU, and power constraints.
• Startup experience or experience building infrastructure without a large-company platform.
• Experience with production LLM or agentic systems, AI coding agents, MCP, or agent evaluation harnesses.
• Security experience in endpoint detection, DLP, behavioral analytics, or AI-agent protection.

Culture & Benefits

• Distributed workplace with remote hiring across North America and San Francisco office positions.
• Meaningful equity in addition to salary.
• Ent covers 90% of employee medical, dental, and vision premiums and 75% of dependent coverage.
• Flexible PTO and 14 weeks of fully paid parental leave.
• $100 monthly lifestyle account and a $500 home office stipend for remote employees.
• Inclusive workplace with reasonable accommodations available throughout hiring.