Senior Prompt Engineer
Listed on 2026-01-01
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
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This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.
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Job Title:
Senior Prompt Engineer
Contract Length: 6 Months
Location:
Charlotte, NC 28262 (On-site, 3 days per week)
Job # 244049
OverviewWe are seeking a Senior Prompt Engineer to support enterprise AI initiatives by standardizing and optimizing prompt engineering practices across multiple business units. This role plays a critical part in shaping how the organization designs, tests, and scales prompt strategies for Generative AI and large language model (LLM) applications.
Core Competencies Understanding of LLM Behavior- Deep knowledge of how large language models process tokens, context windows, and temperature settings.
- Familiarity with prompt injection risks and mitigation strategies.
- Expertise in techniques such as few-shot prompting, chain-of-thought, role prompting, and zero-shot learning.
- Ability to structure prompts for clarity, specificity, and adaptability.
- Understanding of tokenization, embeddings, and semantic similarity.
- Experience with text generation, summarization, and classification methods.
- Strong analytical mindset to deconstruct complex tasks into efficient prompt sequences.
- Creative approach to balancing constraints and flexibility within prompts.
- Experience designing A/B tests to measure prompt performance.
- Ability to use quantitative and qualitative metrics (e.g., BLEU, ROUGE, or human evaluation) to assess output quality.
- Understanding of AI bias, fairness, and responsible AI practices.
- Ability to design safeguards against harmful or sensitive outputs.
- Proficiency in Python for automation and API integration.
- Familiarity with JSON for structured output handling.
- 3 years of experience in AI/ML, NLP, or related fields with hands‑on exposure to Generative AI systems.
- Strong understanding of LLMs, prompt‑response dynamics, and model limitations.
- Proficiency with platforms such as OpenAI, Anthropic, Google Vertex AI, or similar.
- Excellent analytical and communication skills to bridge technical and non‑technical stakeholders.
- Proven ability to document, standardize, and scale prompt engineering processes.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Linguistics, or related discipline.
- Experience with advanced prompting techniques (e.g., chaining, retrieval‑augmented generation (RAG), context injection).
- Familiarity with enterprise AI governance frameworks and risk mitigation strategies.
- Background in regulated industries such as finance or healthcare.
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