AI Prompt Engineer — RAG & LLM Production

LifeScience Logistics

Dallas (TX)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

LifeScience Logistics seeks a seasoned prompt engineer to build and operate enterprise AI systems. You will design prompt libraries, implement RAG pipelines, and optimize Claude/GPT deployments across functions.

You will collaborate with Operations, Control Tower, and Legal to embed security, compliance, and data-residency guardrails while driving measurable improvements in workflows and decision accuracy.

Qualifications

  • 3+ years in software or AI, with at least 1 year in prompt engineering.
  • Hands-on experience with Claude, GPT-4, or similar models in production.
  • Background in technical writing, UX, or developer advocacy.
  • Prompt engineering discipline including system prompts, zero-shot, few-shot, validation.
  • Experience with adversarial prompt testing or AI safety evaluation.
  • Production mindset: monitor uptime, latency, and cost.
  • Regulated industry experience preferred.
  • Excellent written communication; able to translate complex concepts.
  • Able to collaborate across engineering, product, and customer teams.

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.
  • Champion prompt engineering best practices across internal teams including Operations, Control Tower, Business segments, and General Counsel to translate business problems into AI solutions.
  • Embed PII handling rules, data residency constraints, jailbreak resistance, and refusal behavior guardrails into production prompt workflows.
  • Test for prompt injection risks specific to local file inputs — including malicious content embedded in PDFs, DOCX, or CSV files uploaded through Claude Desktop.
  • Build and maintain internal evaluation harnesses to measure prompt quality, consistency, and regression over model updates.
  • Other duties as assigned

Skills

LLM prompt engineering
Technical writing
Cross-functional collaboration
Communication skills
Problem solving

Tools

Claude Desktop
Python
JavaScript
Pinecone
Weaviate
pgvector
OCR pipelines

Job description

LifeScience Logistics seeks a seasoned prompt engineer to build and operate enterprise AI systems. You will design prompt libraries, implement RAG pipelines, and optimize Claude/GPT deployments across functions.

You will collaborate with Operations, Control Tower, and Legal to embed security, compliance, and data-residency guardrails while driving measurable improvements in workflows and decision accuracy.

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