Description

You will design and implement AI-powered automation workflows for archiving structured and unstructured data, integrating Claude (Anthropic API) to classify documents, extract metadata, and apply retention logic.

This role is on-site.

Responsibilities

• Build and maintain solutions within Visual Studio / .NET or Python environments.
• Develop prompt engineering strategies to improve accuracy and consistency in classification and tagging.
• Create automation pipelines for ingestion, tagging, storage, and retrieval.
• Optimize performance, cost, and latency of LLM-driven processes.
• Implement logging, monitoring, and validation to ensure reliability of outputs.

Required Skills

• 5+ years of software engineering experience (backend or full-stack with strong backend focus).
• Hands-on experience working with LLMs (Claude, GPT, or similar) in production environments.
• Strong development experience in Visual Studio (C#/.NET) and/or Python.
• Experience building automation pipelines (APIs, batch processing, event-driven workflows).
• Solid understanding of data classification, document processing, and prompt engineering.
• Experience integrating with REST APIs and cloud services (Azure preferred).

Preferred Skills

• Experience with records management, compliance, or archiving systems.
• Familiarity with vector databases / embeddings for retrieval.
• Exposure to RAG (Retrieval-Augmented Generation) patterns.

Key Skills

Education

Any Gradute