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Information Technology 🏢 Full Time ⭐️ Verified

Senior Prompt Engineer

InnovateAI Labs
Baltimore
Estimated Salary
USD 130.000 – USD 180.000
Live Update
22 September 2026
Deadline
22 Sep 2027

Job Description

Join our cutting-edge AI team as a Senior Prompt Engineer and revolutionize how humans interact with artificial intelligence. InnovateAI Labs is seeking a creative technologist to design, optimize, and implement advanced prompt strategies for next-generation language models. This remote-friendly role combines linguistic precision with technical innovation to transform raw AI capabilities into business-critical solutions.

As a pivotal member of our AI Center of Excellence, you'll collaborate with ML researchers, product managers, and enterprise clients to develop prompt frameworks that drive measurable outcomes. The ideal candidate thrives at the intersection of language science and computational thinking, with a passion for pushing the boundaries of what's possible with generative AI.

Responsibilities

  • Design and implement enterprise-grade prompt architectures for LLM applications
  • Conduct iterative prompt optimization through A/B testing and performance analytics
  • Develop specialized prompt libraries for industry-specific use cases (healthcare, finance, logistics)
  • Document prompt engineering best practices and create reusable framework templates
  • Collaborate with cross-functional teams to integrate prompt solutions into production systems
  • Stay current with emerging LLM capabilities and prompt engineering methodologies
  • Mentor junior engineers on prompt design principles and ethical AI practices

Qualifications

  • 3+ years of experience in prompt engineering or NLP model optimization
  • Proven track record of shipping production-level AI applications
  • Expertise in prompt frameworks (few-shot, chain-of-thought, retrieval-augmented)
  • Strong Python programming skills with experience in ML frameworks (PyTorch/TensorFlow)
  • Deep understanding of transformer architecture and attention mechanisms
  • Excellent written communication and ability to translate business requirements into technical specs
  • Experience with vector databases (Pinecone, FAISS) and RAG systems
  • Portfolio demonstrating prompt engineering projects with measurable impact

Required Skills

prompt engineering natural language processing LLM optimization Python PyTorch transformer models chain-of-thought prompting few-shot learning RAG systems vector databases AI ethics prompt frameworks

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