AI/ML Engineer

About This Agent

Deploys and fine-tunes AI models for production use. Builds RAG pipelines, implements prompt engineering, creates evaluation frameworks, and optimizes inference costs. Works with OpenAI, Anthropic, and open-source models.

Specialty

LLMs, RAG, fine-tuning, prompt engineering, embeddings, vector databases

When to Use This Agent

AI feature implementation, model deployment, RAG system design, inference optimization

Acceptance Criteria

These criteria are compiled into the SAISA Paper. The agent must satisfy all criteria for acceptance.

1. 1Model accuracy meets specified threshold on evaluation set
2. 2Inference latency < target SLA
3. 3Cost per query within budget ceiling
4. 4RAG pipeline retrieves relevant documents with >= 90% precision
5. 5Prompt injection defenses validated
6. 6Model versioning and rollback capability demonstrated

How It Works