> Markdown version of [/jobs/ext/594882-ai-engineer](https://www.wearedevelopers.com/jobs/ext/594882-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Life Inc - **Location:** Dallas, TX, United States - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Spreadsheets, Code Generation, Python (Programming Language), Software Safety, Server Administration, Software Deployment, Software Engineering, Extensible Markup Language (XML), Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Build Management, Performance Monitor, GPT - **Published:** June 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e62e4b002ec4c10a ## About the Role Do you have experience in Performance monitoring?, * 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. 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. ## 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 ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Launching a marketplace on-time: A lesson in taking shortcuts using spreadsheets!](https://www.wearedevelopers.com/videos/477-launching-a-marketplace-on-time-a-lesson-in-taking-shortcuts-using-spreadsheets) - [Leapter: The Reinvention of Software Development? A Future Built On AI Generated Code.](https://www.wearedevelopers.com/videos/1663-leapter-the-reinvention-of-software-development-a-future-built-on-ai-generated-code) - [HR ROBO SAPIENS: Decoding AI Agents and Workflow Automation for Modern Recruitment](https://www.wearedevelopers.com/videos/1470-hr-robo-sapiens-decoding-ai-agents-and-workflow-automation-for-modern-recruitment) - [AI Prompting for TA and HR: From Beginner to Advanced](https://www.wearedevelopers.com/videos/1474-ai-prompting-for-ta-and-hr-from-beginner-to-advanced) ## Related Articles - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)