AI Scientist

Job Description

Key Responsibilities:

• Develop the core components of NAB’s agentic AI products: implementing agent reasoning loops, tool use interfaces, memory systems, context management, and orchestration logic.  

• Translate architectural designs into robust, tested, production-grade implementations, working across the boundary of data science and software engineering.  

• Partner with Product, Engineering, and Platform teams to translate AI capability into measurable business outcomes. 

• Design and implement prompting strategies, retrieval pipelines, and context assembly that determine the quality and reliability of agent behaviour.  

• Embed rigorous evaluation strategies for probabilistic systems, including offline evals, online experimentation, etc. 

• Ensure AI behaviour is explainable, auditable, and aligned with NAB’s Responsible AI principles. 

• Implement strong observability across AI systems, behavioural drift detection, anomaly monitoring, and incident classification. 

• Conduct rapid experimentation to test hypotheses about agent design: what works, what fails, and why; building the empirical evidence base that informs architectural decisions.  

What You Bring:

• Strong experience delivering applied AI/ML systems into production, with exposure to LLMs and agentic architectures preferred. 

• Hands‑on expertise in building automated evaluation pipelines, runtime controls, and CI/CD integration for AI systems. 

• Experience operating in cloud‑native environments and collaborating in cross‑functional product, engineering and risk squads. 

• Comfort working across ambiguity balancing speed, safety, and value in complex enterprise environments. 

• Strong foundations in statistics, probability, and experimental design: you can design rigorous experiments, interpret results critically, and quantify uncertainty  

• Familiarity with prompt and context engineering, retrieval augmented generation, tool use patterns, and agent orchestration. Direct hands-on experience is strongly preferred.  

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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