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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

InnovateAI Solutions
Philadelphia
Estimated Salary
USD 120.000 – USD 180.000
Live Update
27 Juli 2026
Deadline
27 Jul 2027

Job Description

Join our cutting-edge AI team in Philadelphia as a Senior Prompt Engineer! You'll architect next-generation AI interactions, revolutionizing how businesses leverage large language models. This hybrid role combines deep technical expertise with creative problem-solving to build transformative AI experiences. Collaborate with ML researchers, product designers, and enterprise clients to deliver breakthrough solutions. We offer competitive benefits, professional development stipends, and an inclusive culture that values innovation.

Responsibilities

  • Design, develop, and optimize advanced prompts for LLMs to achieve specific business outcomes
  • Conduct rigorous prompt testing, iteration, and performance analysis using quantitative metrics
  • Develop prompt engineering frameworks and reusable templates for enterprise clients
  • Collaborate with cross-functional teams to translate complex requirements into prompt solutions
  • Document prompt engineering best practices and create technical guidelines
  • Stay current with emerging AI techniques and contribute to innovation roadmap

Qualifications

  • Bachelor's degree in Computer Science, Linguistics, Cognitive Science, or related field
  • 3+ years of prompt engineering or NLP experience with production AI systems
  • Proven track record of optimizing prompts for GPT-4, Claude, or similar LLMs
  • Strong understanding of transformer architectures and attention mechanisms
  • Expertise in prompt design patterns (few-shot learning, chain-of-thought, etc.)
  • Experience with prompt evaluation frameworks and A/B testing methodologies
  • Exceptional communication skills with ability to articulate complex concepts

Required Skills

prompt engineering large language models natural language processing machine learning AI systems GPT-4 Claude prompt optimization transformer models NLP frameworks

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