AI Engineer Lead at Orica managing and optimizing AI models and datasets while mentoring engineers. Bridging R&D, Engineering, and Data Platforms in a collaborative environment.
About the role
- AI Engineer developing agentic AI workflows to enhance drug discovery processes using advanced machine learning. Collaborating with medicinal chemists to deliver effective solutions.
Responsibilities
- Own the implementation of end-to-end agentic AI workflows, from data ingestion and schema design to prompting, context management, tool creation, and multi-agent orchestration
- Partner closely with medicinal chemists to prototype, test, and refine AI-assisted workflows that improve scientific quality, speed, and confidence
- Improve real user use cases by incorporating feedback from internal users (and external customers post-launch), translating insights into product and system improvements
- Support automated integration of customer assay and experimental data into Indy environments, ensuring reliability and scalability
- Identify and implement product improvements or new features based on hands-on collaboration with scientific, product, and engineering stakeholders
- Contribute to backend and system architecture decisions as the platform evolves from single-user workflows to scalable, multi-user production systems
Requirements
- 4+ years of experience building backend and/or data systems using Python in production environments
- Experience shipping at least one user-facing system that integrates LLMs (agentic workflows are a strong plus)
- Strong understanding of backend systems, data flows, and production infrastructure
- Comfort working with data engineering concepts such as schema design, pipelines, and orchestration (Dagster, Airflow, or similar tools)
- Ability to collaborate deeply and effectively across disciplines, including working directly with scientists and translating domain-specific needs into robust technical solutions
- Comfortable owning ambiguous problems, building from first principles, and iterating quickly in a startup environment
Benefits
- competitive salary and equity-based compensation
- comprehensive healthcare benefits (including dental and vision)
- opportunity to grow alongside a rapidly scaling company
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