Staff Applied AI Researcher (AI)

Location: Dublin, California, United States

Company

hirify.global develops generative AI platforms for regulated enterprise industries, combining domain-specific models, autonomous agentic reasoning, model evaluation, and multimodal understanding.

What you will do

• Set technical direction for runtime intelligence and agentic reasoning across ModelMesh, including orchestration, decision policies, verification, and runtime quality standards.
• Design agentic platforms and orchestration primitives that support large-scale experimentation, evaluation, and production integration.
• Research and develop routing models, verification models, confidence estimators, reward models, and policy selectors.
• Build methodologies that combine perception, retrieval, reasoning, knowledge graphs, domain models, and external tools into reliable workflows.
• Lead research into failure detection, self-checking, error analysis, auditability, and autonomous-system reliability for regulated environments.
• Define continuous evaluation frameworks for task success, decision quality, robustness, traceability, and failure recovery, while mentoring researchers and contributing to publications and patents.

Requirements

• PhD or MSc in Computer Science, Machine Learning, AI, Robotics, or a related field.
• 8+ years of AI/ML research experience with production impact, including 3+ years building LLM-based or autonomous AI systems.
• Hands-on experience in at least two areas including multi-agent coordination, planning under uncertainty, sequential decision-making, probabilistic inference, model routing, or tool-using agent systems.
• Experience designing evaluation frameworks for autonomous systems, including reliability under distribution shift, compounding errors, and failure recovery.
• Experience designing and operating multi-model research systems in production or near-production settings, with strong Python and software architecture skills.
• Experience setting technical direction, mentoring researchers, and influencing quality standards beyond an immediate team.

Nice to have

• Experience with dynamic routing, verification loops, probabilistic gating, probabilistic modeling, Bayesian inference, control theory, or formal verification.
• Experience with observability, safety constraints, graceful degradation, audit trails, and reliability engineering for autonomous AI.
• Experience integrating retrieval systems, knowledge graphs, domain models, and external APIs into production agent systems.
• Strong publication record and experience taking reasoning or agent systems from prototype to enterprise production.
• Familiarity with energy, semiconductor, finance, aerospace, telecom, or supply chain domains.

Culture & Benefits

• Emphasis on humility, evidence-based technical decisions, and choosing the best idea regardless of seniority.
• Focus on customer and platform outcomes alongside research impact.
• Commitment to reliability, trustworthiness, auditability, and fairness in autonomous systems.
• Strong investment in mentoring, researcher development, and rigorous experimental practice.