Job scope
The engineer will, on a Time and Material Based Model, support the below mentioned job scope:
- Collaborate with a third‑party AI vendor to validate and fine‑tune the AI responder using Retrieval‑Augmented Generation (RAG) techniques and domain‑specific data.
- Design and execute a comprehensive test plan to evaluate AI response quality, accuracy, relevance, and tone.
- Work with the core team to compile and organize the AI related content, data, and guides.
- Full coverage on AI development projects including:
- Altera Community Forum AI Responder & Assistant project
- APS AI Responder & AI Assistant project
- Internal AI assistant for WWRAE project
- Backend data analysis with AI for Forum and APS.
- AI tools & applications development.
- Monitor AI performance post‑deployment and provide feedback for continuous improvement.
- Assist in prompt engineering, response evaluation, and tuning based on real‑world customer queries.
- Ensure compliance with internal standards for data privacy, security, and ethical AI.
Requirements
- Bachelor’s Degree in Computer Science / Computer Engineering
- Machine Learning (e.g., DeepLearning.AI)
- LLMs and Prompt Engineering (e.g., OpenAI, Hugging Face, LangChain)
- MLOps or AI system deployment
- Cloud platforms (Azure, AWS, GCP) with AI services
- Programming (e.g., Python, Java, Javascript)