Prompt Engineer
United States of America
Full Time
5 days ago
H1B Sponsor Likely
Key skills
Prompt EngineeringLarge Language Models (LLMs)Natural Language Processing (NLP)Generative AIAI Output EvaluationPythonREST APIsAI SDKsExperimentationA/B TestingAI Quality AssuranceAINLPLLMClaudeGeminiLlamaRAGCommunicationCritical ThinkingCollaboration
About this role
Envision Technology Solutions is seeking a Prompt Engineer to enhance AI models through effective prompt design and optimization. The role involves collaborating with engineers and data scientists to develop high-quality prompts and ensure compliance with ethical guidelines while improving model performance.
Responsibilities:
- Design, develop, and refine prompts to elicit reliable and high‑quality outputs from LLMs (e.g., GPT, Claude, Gemini, LLaMA)
- Apply and experiment with prompting techniques such as few‑shot prompting, chain‑of‑thought, role‑based prompts, and structured outputs
- Optimize prompt formats, structures, and parameters to improve model accuracy, consistency, and relevance
- Evaluate LLM responses for correctness, relevance, bias, hallucination, safety, and compliance with usage guidelines
- Collaborate with software engineers and data scientists to integrate prompts into applications, APIs, workflows, and automation pipelines
- Build and maintain reusable prompt libraries, templates, and best‑practice standards
- Document prompt strategies, experiments, evaluation outcomes, and optimization learnings
- Support prompt‑plus‑data approaches including Retrieval‑Augmented Generation (RAG), embeddings, and fine‑tuning where applicable
- Monitor model updates and adapt prompt strategies as model behavior evolves
- Ensure prompts and generated outputs align with ethical guidelines, responsible AI principles, and business policies
Requirements:
- Hands‑on experience in prompt design and optimization for LLMs
- Strong understanding of NLP concepts and generative AI behavior
- Experience evaluating and validating AI‑generated outputs
- Ability to translate functional or business requirements into precise AI instructions
- Familiarity with Python, REST APIs, or AI SDKs
- Strong written communication and technical documentation skills
- Prompt engineering and optimization
- Analytical and critical thinking
- Experimentation and A/B testing
- AI quality assurance and evaluation
- Cross‑functional collaboration with technical and non‑technical stakeholders