AI Engineer
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Hybrid, Scottsdale, AZ
· 2+ years of Experience with LLMs, prompt engineering, and agent frameworks.
· 2+ years of Experience Practical experience implementing RAG: embeddings, vector DBs and retrieval tuning.
· 2+ years of Experience with LangChain patterns and with toolchain telemetry (Langfuse or similar) for prompt/model traceability.
· 5+ years of Experience with Kubernetes, Docker, CI/CD and infrastructure as code experience.
· 2+ years of Experience with Practical experience with Google Cloud Platform services
· 2+ years of Experience with Observability, testing, and security best practices for distributed systems.
· 2+ years of Experience with evaluating and mitigating retrieval/augmentation failures, hallucinations, and leakage risks in RAG systems.
· Familiarity with vendor and open source vector stores and embedding providers.
· Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD).
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