AI Prompt Engineer

MCI Careers

About The Position

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs. At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization. We are seeking a creative, analytical, and detail-oriented Prompt Engineer to design, test, and refine text-based instructions (prompts) that guide generative AI models in producing accurate, relevant, and useful outputs. This role bridges the gap between human intent and machine capabilities, helping AI systems understand and respond effectively to real-world tasks from writing and coding to customer support and product descriptions. To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test.

Requirements

Bachelor’s degree in Computer Science, Data Analytics, Information Technology, or related fields. Degrees in Linguistics, Communication, or Psychology are also valued.
Strong analytical and problem-solving skills with excellent attention to detail.
Familiarity with large language models (LLMs) and natural language processing (NLP) concepts.
Experience with generative AI tools (e.g., OpenAI’s GPT, Anthropic Claude, Google Gemini).
Excellent written and verbal communication skills.
Ability to work independently and collaboratively in a fast-paced, evolving environment.
Creativity in approaching problem-solving and optimizing AI-driven outputs.

Nice To Haves

Basic programming knowledge (e.g., Python, JavaScript) preferred.
Experience with version control tools.

Responsibilities

Prompt Design: Create clear, concise, and context-rich prompts to elicit specific and high-quality responses from AI systems.
Optimization & Testing: Experiment with prompt variations to improve AI performance, accuracy, and relevance across different use cases.
AI Understanding: Tailor prompts based on the capabilities and limitations of various generative AI models.
Collaboration: Work with product managers, developers, and data scientists to integrate prompt engineering into practical applications.
Documentation: Develop prompt libraries, usage guidelines, and best practices for internal and external teams.
Monitoring & Feedback: Evaluate AI outputs for tone, usefulness, and alignment with user intent, and iterate based on findings.
Research: Stay informed on advancements in prompt engineering, NLP, and generative AI technologies.

Benefits

Paid Time Off: Earn PTO and paid holidays to take the time you need.
Incentives & Rewards: Participate in daily, weekly, and monthly contests that include cash bonuses and prizes ranging from electronics to dream vacations and sometimes even cars!
Health Benefits: Full-time employees are eligible for comprehensive medical, dental, and vision coverage after 60 days of employment, and all employees have access to MEC medical plans after just 30 days. Benefit options vary by location.
Retirement Savings: Secure your future with retirement savings programs, where available.
Disability Insurance: Short-term disability coverage is available to help protect you during unexpected challenges.
Life Insurance: Access life insurance options to safeguard your loved ones.
Supplemental Insurance: Accident and critical illness insurance
Career Growth: With a focus on internal promotions, employees enjoy significant advancement opportunities.
Paid Training: Learn new skills while earning a paycheck.
Fun, Engaging Work Environment: Enjoy a team-oriented culture that fosters collaboration and engagement.
Casual Dress Code: Be comfortable while you work.