AI Engineer x 2 (AI Innovation Office)
Tasks
- Build pipelines for prompt management model invocation grounding validation and evaluation
- Build testing evaluation monitoring and feedback loops for quality performance safety and cost
- Collaborate with product data risk security and platform teams to align delivery priorities
- Design build and ship production ready AI applications
- Embed security privacy compliance model risk and responsible AI guardrails
- Integrate foundation models ML models RAG vector stores and AI services
- Optimize latency reliability and cost across AI workloads
Perks/Benefits
- Employee discounts
- Flexible work arrangements
- Learning and development
- Leave options
- Mortgage discounts
- Volunteering opportunities
Skills/Tech-stack
API Development | Artificial Intelligence | Automated testing | CI/CD | Cloud Computing | Embeddings | Language Models | Large Language Models | Machine Learning | Model Evaluation | Observability | Prompt engineering | Prompt management | Retrieval-Augmented Generation | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
Cities
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