Artificial Intelligence (AI) Engineer
Tasks
- Apply privacy security transparency and human oversight best practices
- Design and build AI prototypes and MVPs
- Develop prototype code bases and evaluation scripts
- Document assumptions design decisions and evaluation results
- Prepare data documents knowledge sources and evaluation datasets
- Support technology handoff with architecture notes and production readiness gaps
- Translate business workflows into AI solution designs
- Validate prototypes with stakeholders and iterate
Perks/Benefits
Skills/Tech-stack
.NET | Agentic Workflows | CI/CD | Docker | Embeddings | Evaluation | FastAPI | Git | LLM APIs | MLflow | Microsoft Azure | Monitoring | NumPy | Pandas | Prompt engineering | PyTorch | Python | REST APIs | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Testing | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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