Sr GEN AI - Prompt Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr GEN AI - Prompt Engineer in Irving, TX, for 12 months at a competitive pay rate. Key skills include NLP, Python, and experience with LLM APIs. Domain-specific industry experience is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 10, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Irving, TX
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🧠 - Skills detailed
#Model Evaluation #Compliance #Data Science #Security #JavaScript #Automation #Documentation #NLP (Natural Language Processing) #Hugging Face #ML (Machine Learning) #AI (Artificial Intelligence) #Libraries #Databases #Programming #Python
Role description
Job Title: Sr GEN AI - Prompt Engineer Location: Irving TX – Onsite Duration: 12 months We are seeking a Prompt Engineer to design, test, and optimize interactions with large language models (LLMs) and generative AI systems. This role sits at the intersection of AI research, product development, and user experience, helping our teams unlock the full potential of generative AI to drive business value and innovation. Key Responsibilities β€’ Prompt Design & Optimization: Develop, refine, and test prompts to achieve accurate, reliable, and context-aware outputs from LLMs (e.g., GPT-4/5, Claude, LLaMA, etc.). β€’ Model Evaluation: Conduct experiments to evaluate prompt effectiveness, measure output quality, and track performance against benchmarks (accuracy, efficiency, consistency). β€’ Knowledge Engineering: Build reusable prompt libraries, templates, and frameworks tailored to business workflows and domain-specific use cases. β€’ Cross-Functional Collaboration: Partner with product managers, data scientists, engineers, and designers to integrate LLM capabilities into products and services. β€’ Documentation & Best Practices: Establish guidelines for prompt engineering, including style, structure, safety, and ethical use. β€’ AI Governance: Work with legal, compliance, and security teams to ensure responsible use of AI and alignment with company policies. β€’ Continuous Improvement: Stay current with advances in generative AI, fine-tuning techniques, and evaluation methodologies. Qualifications Required Skills & Experience β€’ Strong background in natural language processing (NLP), linguistics, or applied machine learning. β€’ Proficiency in Python, JavaScript, or another programming language for working with APIs and automation. β€’ Experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere, Hugging Face). β€’ Demonstrated ability to design effective prompts and evaluate AI-generated responses. β€’ Analytical mindset with the ability to define metrics and assess performance of AI outputs. β€’ Excellent communication skills to translate technical findings into actionable insights. Preferred Skills β€’ Experience with fine-tuning or training large language models. β€’ Familiarity with vector databases, retrieval-augmented generation (RAG), and knowledge grounding. β€’ Understanding of human-computer interaction (HCI) and conversational UX design. β€’ Prior experience in a domain-specific industry (finance, healthcare, legal, etc.) where prompt engineering can create business value. β€’ πŸ› οΈ Core Technical Skills for Prompt Engineers