Staff Applied AI Researcher - Agentic Reasoning Systems (Dublin, CA)

About the role

Articul8 was born from a simple belief: GenAI should work for the enterprise, not the other way around. Our platform combines domain-specific models, autonomous agentic reasoning through ModelMesh(TM), reliable model evaluation through LLM-IQ(TM), and multimodal understanding to serve regulated industries including energy, semiconductor, finance, aerospace, and supply chain. Trusted by Fortune 500 enterprises, we bring together research, engineering, product, and domain expertise to deliver AI that meets the accuracy, explainability, and auditability standards that high-stakes environments demand. Job Description: Articul8 AI is seeking a Staff Applied AI Researcher to define how our platform reasons at runtime and how autonomous systems make trustworthy decisions in production. You will lead research across the core runtime intelligence capabilities behind ModelMesh(TM): task decomposition, agent coordination, model and tool routing, probabilistic decisioning, verification, observability-aware execution, and the evaluation methods that determine whether autonomous behavior is reliable enough for enterprise use.

Responsibilities

• Influence platform-level architecture - shape decisions on model routing, tool use, observability, governance, access control, and interoperability with external agent ecosystems, ensuring the platform is designed for humans and agents to amplify each other
• Mentor researchers across levels in the agentic paradigm - raise the bar on technical judgment, experimental rigor, and agent-augmented research practice; contribute to hiring researchers who are driven to maximize their human potential
• Maintain hands-on research impact - sustain a meaningful personal research contribution through technical work, publications, patents, and externally visible output, modeling what it looks like to be a deeply technical leader who uses agentic systems to go deeper and faster than ever before
• Required Qualifications:
• Education: PhD or MSc in Computer Science, Machine Learning, AI, Robotics, or a related field.
• Experience: 8+ years in AI/ML research with demonstrated impact on production systems, including 3+ years building LLM-based or autonomous AI systems.
• Evaluation of autonomous systems: You have designed evaluation frameworks for systems where correctness is not binary - measuring decision quality, reliability under distribution shift, compounding error rates, and failure recovery in production-like conditions.
• Systems at scale: You have designed and operated research systems that integrate multiple models, data sources, and control mechanisms in production or near-production settings. You unde

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