AI Engineer

Lifescience-Logistics; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Lifescience Logistics in Dallas, TX seeks a skilled prompt engineer to establish a structured prompt library and optimize LLM workflows across the organization. You will design RAG pipelines, test prompts for safety, and collaborate with Engineering, Product, and Compliance teams to deliver reliable AI-enabled solutions.

The role requires hands-on experience with Claude/GPT-4, strong technical writing, and a production mindset to improve workflows, latency, and cost.

Qualifications

• 3+ years of software engineering or applied AI experience, with at least 1 year focused on LLM prompt engineering.
• 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.
• 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.

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

Claude/GPT-4 experience

Technical writing

Adversarial prompting

Cross-functional collaboration

Production deployment mindset

Tools

Pinecone

Weaviate

pgvector

OCR pipelines

Job description

• 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 and Job Specifications

• 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.
• 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).
• 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.

Additional 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/Mental/Visual 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.

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.

Qualifications

Skills

Behaviors

Motivations

Education

Experience

Licenses & Certifications

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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