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Simulation Developer Data Scientist
Simulation Developer Data ScientistConfidential • Varanasi, India
Simulation Developer Data Scientist

Simulation Developer Data Scientist

Confidential • Varanasi, India
13 days ago
Job description

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

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