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AI Engineer

LifeScience Logistics
Coppell, Texas, United StatesFull timePosted yesterday
Location
Coppell, Texas, United States
Type
Full time

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

Qualifications

  • 3+ years of software engineering or applied AI experience, with at least 1 year focused on LLM prompt engineering.
  • Deep hands-on experience with Claude, GPT-4, or similar large language models in production or near-production settings.
  • Background in technical writing, UX wireframing, instructional design, or developer advocacy.
  • Prompt engineering discipline including system prompt design, zero-shot, few-shot, output validation, hallucination mitigation.
  • Experience with adversarial prompt testing, red teaming methodologies, or AI safety evaluation frameworks.
  • Production deployment mindset. You monitor what you build, you own uptime, you care about latency and cost.
  • Previous experience working with a lean team in a regulated industry, such as pharma, healthcare, government, or financial services is preferred.
  • Excellent written communication skills; ability to translate complex technical concepts for non-technical audiences.
  • Proven ability to collaborate cross-functionally across engineering, product, and customer-facing teams.

Technical Expertise

  • Direct experience with Claude Desktop, including MCP (Model Context Protocol) server configuration and local file tooling.
  • Familiarity with RAG (Retrieval-Augmented Generation) architecture and vector databases (e.g., Pinecone, Weaviate, pgvector).
  • Proficiency in Python or JavaScript for building prompt pipelines, evaluation scripts, and automation tooling.
  • Supply chain, logistics, or 3PL domain knowledge including WMS, EDI 850/810/856, DSCSA familiarity.
  • Knowledge with Intelligent Document Processing (IDP), OCR pipelines, and handwritten text extraction (AWS Textract, CargoShot, or equivalent).
  • Exposure to government or enterprise RFP processes, understanding of compliance documentation, and proposal requirements are nice to have.

Employment Requirements

  • Must be able to successfully pass all preliminary employment requirements (i.e., background check and drug screen)
  • Other requirements such as professional licensing.

Physical and Mental Demands

  • Work is light to medium in nature with frequent walking to perform assigned tasks.
  • Work is performed in office.
  • Must be able to safely conduct occasional lifting of 25 lbs.

Working Conditions

  • Activities occur in a typical office environment.

Equal Opportunity

LifeScience Logistics is an equal opportunity employer. Candidates will not be hired based on their race, sex, color, religion or national origin. Reasonable accommodations are available for individuals with disabilities. We proudly support the employment of veterans and welcome applications from protected veterans and all qualified applicants.

NO AGENCIES PLEASE

About LifeScience Logistics

LifeScience Logistics (LSL) is a third-party logistics (3PL) company providing healthcare supply chain solutions, including warehousing, trade distribution, manufacturing logistics, cold chain storage, and emergency management/stockpile services. It serves pharmaceutical, medical device, biotech, and biologics manufacturers, as well as federal and state government entities, hospitals, and health systems, operating cGMP-compliant, FDA-registered facilities across the United States.

Industry
Healthcare supply chain / third-party logistics (3PL)
Head office
Dallas, TX, USA
Company size
600 (reported circa 2021); third-party estimates vary
Founded
2006
Healthcare supply chain solutionsThird-party logistics (3PL)Trade distribution logisticsManufacturing logisticsEmergency management and stockpile solutionsCold chain storagecGMP-compliant warehousing and distributionPharmaceutical and medical device logistics
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