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Prompt Engineer - San Antonio, TX

Apex Innovations
San Antonio
Estimated Salary
USD 120.000 – USD 160.000
Live Update
14 Agustus 2026
Deadline
14 Agu 2027

Job Description

Are you passionate about the intersection of linguistics and artificial intelligence? Apex Innovations is seeking a visionary Prompt Engineer to join our growing team in San Antonio, TX. In this pivotal role, you will be responsible for designing and refining the interaction between humans and our advanced AI models, ensuring optimal performance and alignment with business objectives.

As a Prompt Engineer at Apex, you won't just be typing text; you will be architecting the logic that drives our next generation of intelligent applications. We are looking for a problem-solver who thrives in a fast-paced, innovative environment.

Responsibilities

  • Prompt Architecture: Design, develop, and refine complex prompts for Large Language Models (LLMs) such as GPT-4, Claude, and Llama to maximize output quality and accuracy.
  • Model Evaluation: Conduct rigorous testing and evaluation of AI outputs to identify biases, errors, and safety risks.
  • Iterative Optimization: Continuously analyze user feedback and model performance metrics to iterate and improve prompt chains and workflows.
  • Cross-Functional Collaboration: Work closely with Data Scientists, Product Managers, and Software Engineers to integrate AI capabilities into existing products.
  • Documentation: Create comprehensive documentation for prompt libraries and methodologies to ensure knowledge transfer across the organization.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Linguistics, English, or a related technical field (Master’s degree preferred).
  • Experience: 3+ years of experience in AI, NLP, or a related technical field, with specific experience in LLM fine-tuning or prompt engineering.
  • Technical Skills: Proficiency in Python or JavaScript, and familiarity with APIs (OpenAI, Anthropic, Hugging Face).
  • Language: Excellent command of the English language, with a keen eye for nuance, tone, and style.
  • Problem Solving: Strong analytical skills and the ability to deconstruct complex problems into structured, executable prompts.

Required Skills

Prompt Engineering Large Language Models (LLMs) GPT-4 Claude Python NLP Data Analysis API Integration

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