AI Engineer

• • Design and implement end-to-end AI/ML solutions from data prep to production deployment.
• • Build RAG pipelines with robust retrieval, re-ranking, grounding, and evaluation.
• • Develop AI applications such as conversational agents and document intelligence workflows (extraction, classification, validation).
• • Implement image/document processing (OCR, layout analysis, table extraction, redaction).
• • Integrate with enterprise systems and APIs; enable tool use/function calling where applicable.
• • Optimize for latency, accuracy, cost, and safety.
  • Package and deploy with Docker/Kubernetes/Serverless; automate with CI/CD. -
• Write clean, testable code; contribute to internal accelerators, templates, and best practices.

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