AI Engineer

Job Summary
The AI Engineer is a key contributor within a lean, high-impact transformational team at a pharma-focused third-party logistics provider serving 90+ clients. You will join our engineering team and serve as the bridge between our AI capabilities and our end users. In this role, you will design and test AWS AI based solutions and optimize prompt strategies that help users unlock the full potential of AI and Claude Desktop — including seamless integration of local files, documents, and data sources into AI-powered workflows.
You will work closely with product and design teams to build a library of high-quality prompts, develop internal tooling for prompt evaluation, and directly support users in crafting effective instructions for complex, document-heavy tasks. You will also own safety and governance responsibilities to proactively stress-test prompts and file-based workflows for vulnerabilities, bias, and misuse risks before they reach production.
Top Skills: 
Integration with & without Workday Integration Studio
Rest, SOAP, Web Services / APIs
Azure Integration Services
Exp integrating with multiple ERPS like Dynamics
Exp with low-code platforms i.e MS Power Apps & Quickbase
Responsibilities
Establish and maintain a structured prompt library for the company which will cover common use cases (summarization, Q&A, extraction, code generation, file analysis).
Apply advanced prompting techniques including chain-of-thought, few-shot examples, role specification, and XML-structured inputs.
Design and build RAG pipelines connecting our WMS, EDI logs, SOP repositories, contract data, and other systems.
Deploy and tune LLM-powered applications including internal knowledge assistants, client-facing chat, extend RAG based response repositories, and leverage AI to optimize workflows, processes, and drive system improvements.
Continuously A/B test prompt variants and document performance benchmarks.
Serve as the subject-matter expert on Claude Desktop's file-handling capabilities, including referencing local PDFs, Word documents, spreadsheets, and code files within prompts.
Create reusable prompt patterns that work reliably with multi-file inputs, long-context documents, and structured data.