Job Description – Senior Platform Engineer (AI / Prompt Engineer)
Title : Senior Platform Engineer (AI Engineer / Prompt Engineer)
Duration : 6+ Months (Contract)
Location : Charlotte, NC (Hybrid – Local Candidates Only)
Interview Mode : Skype
Employer : PV W2
Key Responsibilities :
- Design, test, and optimize prompts for Generative AI applications across multiple business use cases.
- Collaborate with data scientists, platform engineers, and risk teams to ensure compliant and scalable AI model deployment.
- Develop reusable prompt frameworks and documentation for consistent enterprise-wide adoption.
- Evaluate prompt effectiveness using A / B testing, BLEU, ROUGE, and human feedback metrics.
- Integrate AI model APIs (OpenAI, Anthropic, Google Vertex AI, etc.) within enterprise environments.
- Identify and mitigate prompt injection risks , ensuring adherence to enterprise AI governance and security standards.
- Continuously iterate on model interaction design for clarity, specificity, and contextual accuracy.
- Partner with cross-functional stakeholders to align AI solutions with business objectives and compliance needs.
Required Qualifications :
3+ years of experience in AI / ML, NLP, or Generative AI systems.Hands-on experience with LLMs (OpenAI, Anthropic, Google Vertex AI, Claude, etc.).Strong understanding of prompt-response dynamics, tokenization, embeddings , and semantic similarity .Proficiency in Python for automation and API integration.Familiarity with JSON for structured outputs.Bachelor's or Master's in Computer Science, Data Science, Linguistics , or related field.Excellent communication and analytical skills — ability to bridge technical and business discussions.Prior experience in regulated industries such as finance or healthcare .Core Competencies : Understanding of LLM Behavior :
Context window management, token processing, and temperature tuning.Knowledge of prompt injection vulnerabilities and mitigation strategies.Prompt Design & Optimization :
Expertise in few-shot , zero-shot , chain-of-thought , and role prompting .Ability to structure prompts for adaptability and precision.Evaluation & Iteration :
Experience designing A / B tests and evaluating prompts using quantitative (BLEU, ROUGE) and qualitative measures.Ethics & Responsible AI :
Awareness of bias mitigation , fairness , and safe AI deployment practices.Preferred Qualifications :
Experience integrating Retrieval-Augmented Generation (RAG) pipelines.Familiarity with enterprise AI governance and model risk management frameworks.Hands-on experience working within financial domain environments.Skills Required
tokenization , Json, Python