Simulation Developer Data Scientist

22 hours ago

Varanasi, Uttar Pradesh, India TEK Inspirations LLC Full time ₹ 12,00,000 - ₹ 24,00,000 per year

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.

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