Collaboration & Delivery: Work with Product Owner, Developers, Quality Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation.
AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows.
Prompt Engineering & Evaluation: Design, optimize, and evaluate prompts to improve AI behavior, reasoning, and response quality.
...
Review design packages (electrical, mechanical, controls) and ensure production teams fully understand the build requirements.
Conduct build readiness reviews with production, quality, HSE, and supply chain teams to ensure all materials, drawings, jigs, and procedures are released before production start.
...
Build and validate proof-of-concepts (POCs), prototypes, and reference architectures for new AI use cases and technologies.
Develop and integrate AI capabilities such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, automation workflows, predictive analytics, and intelligent knowledge systems.
Design and implement system integrations through APIs, databases, cloud platforms, and enterprise applications.
...