Senior AI Prompt Engineer

MCI Careers,
Onsite

About The Position

MCI is a rapidly growing tech-enabled business services company with a significant presence in call centers and international operations. We offer Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across various industries. Our contact centers utilize both on-site and remote agents, employing advanced technologies to improve customer interactions, scalability, and cost-efficiency. MCI is dedicated to providing an environment where professionals can develop meaningful careers, access ongoing learning and development, and contribute to a leading global organization. We are looking for a Senior AI Prompt Engineer to design, optimize, and manage prompts to enhance the effectiveness of Large Language Models and AI applications. This role focuses on improving the quality, consistency, accuracy, and business relevance of AI responses for diverse use cases. The ideal candidate will collaborate with AI engineers, product managers, trainers, and business stakeholders to create scalable prompting solutions that yield measurable business results. Applicants must complete a full application on our company careers page, including screening questions and a pre-employment test.

Requirements

  • Bachelor's Degree in Computer Science, Artificial Intelligence, Linguistics, Communications, Information Systems, Business, or a related field.
  • Minimum 5 years of experience in AI, software development, content strategy, research, analytics, or a related discipline.
  • Minimum 2 years of hands-on experience working with Generative AI technologies.
  • Experience designing, testing, and optimizing prompts for Large Language Models.
  • Strong understanding of AI model behavior and prompt engineering principles.
  • Excellent written communication and language analysis skills.
  • Strong analytical and problem-solving abilities.
  • Experience evaluating AI outputs and identifying improvement opportunities.
  • Ability to manage multiple projects and priorities effectively.
  • Strong stakeholder engagement and collaboration skills.
  • Experience documenting standards, methodologies, and best practices.
  • Ability to work effectively in fast-paced and evolving environments.

Nice To Haves

  • Experience with OpenAI, Anthropic, Gemini, Claude, or similar AI platforms.
  • Experience with Retrieval-Augmented Generation (RAG) solutions.
  • Knowledge of AI agents and workflow automation technologies.
  • Familiarity with AI evaluation frameworks and testing methodologies.
  • Experience with conversational AI and chatbot development.
  • Understanding of AI governance and responsible AI principles.
  • Experience working within SaaS, technology, or BPO environments.
  • Advanced certifications or training related to AI and Generative AI.

Responsibilities

  • Create and maintain prompts that enhance AI system performance.
  • Design prompts for conversational AI, automation, and business applications.
  • Develop reusable prompt templates and libraries.
  • Optimize prompt structures for different use cases and models.
  • Support enterprise AI product development initiatives.
  • Improve response quality through experimentation and analysis.
  • Conduct prompt testing and A/B evaluations.
  • Analyze AI outputs and identify optimization opportunities.
  • Improve accuracy, consistency, and user experience.
  • Support model tuning and evaluation activities.
  • Measure and monitor AI effectiveness across multiple applications.
  • Develop evaluation criteria and quality standards.
  • Review AI responses against business requirements.
  • Track prompt performance and improvement metrics.
  • Provide recommendations for ongoing enhancements.
  • Work closely with technical and business teams.
  • Collaborate with AI engineers, trainers, and product managers.
  • Translate business requirements into prompting strategies.
  • Support AI solution design and implementation efforts.
  • Communicate findings and recommendations to stakeholders.
  • Drive innovation within prompt engineering practices.
  • Stay current with developments in Generative AI and LLMs.
  • Evaluate new prompting techniques and methodologies.
  • Contribute to prompt engineering best practices.
  • Support AI innovation and experimentation initiatives.
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