Minimum qualifications

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
• Experience building and shipping production-grade AI‑driven solutions to external or internal customers using Python, TypeScript, or similar languages.
• Experience leading technical discovery sessions with business stakeholders and engineering teams to define AI and hardware infrastructure requirements.
• Experience architecting scalable AI systems on cloud platforms e.g., Google Cloud Platform (GCP).
• Experience building pipelines for structured, unstructured data, incorporating vector databases and Retrieval‑Augmented Generation (RAG)-like architectures to power enterprise‑grade AI solutions.

Preferred qualifications

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi‑agent systems using frameworks (e.g.,...