Seeking a Senior Prompt Engineer to support enterprise AI initiatives by standardizing and optimizing prompt engineering practices across business units.
Responsibilities:
How large language models process tokens, context windows, and temperature settings.
Knowledge of prompt injection risks and mitigation strategies.
Techniques like few-shot prompting, chain-of-thought, role prompting, and zero-shot learning.
Tokenization, embeddings, semantic similarity.
Understanding of text generation, summarization, and classification.
Ability to break down complex tasks into smaller steps.
Crafting prompts that balance constraints and flexibility.
Designing A/B tests for prompt performance.
Using metrics like BLEU, ROUGE, or human evaluation for quality.
Awareness of bias, fairness, and responsible AI principles.
Techniques for avoiding harmful or sensitive outputs.
Python for automation and API integration.
Familiarity with JSON for structured outputs.
Required Qualifications:
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 like OpenAI, Anthropic, Google Vertex AI, or similar.
Excellent analytical and communication skills to bridge technical and non-technical teams.
Ability to document and standardize processes for scalability.
Preferred Qualifications:
Bachelor’s or master’s degree in computer science, Data Science, Linguistics, or related discipline.
Experience with advanced prompt techniques (e.g., chaining, RAG, context injection).
Familiarity with enterprise AI governance frameworks and risk mitigation strategies.
Prior experience in regulated industries such as finance or healthcare.
