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Prompt Engineer

Inizio Partners Corp

  • New York
  • 30+ days ago

    Highlights

    Technical skills : GenAI & Prompting - prompt engineering techniques (few-shot, chain-of-thought, structured prompts);Experience with Azure OpenAI / LLM APIs; Prompt versioning and optimization. RAG & Retrieval Awareness - understanding of Azure AI Search and retrieval behavior; Context design and grounding strategies; Ability to reduce hallucinations via prompt + retrieval design.

    Numbers & Facts

    LocationNew York
    Websitehttps://www.iniziopartners.com

    Description

    Role & Responsibilities Overview:

    • Prompt Design & Optimization
    • Design prompts for - summarization, risk insights, adverse media analysis, underwriter assistant agent etc.
    • duplicate explanation, decision support
    • Optimize prompts for accuracy, grounding, and consistency

    Evaluation & Continuous Improvement

    • Define evaluation scenarios and validation datasets
    • Use LLM-as-judge and feedback loops to improve responses
    • Continuously refine prompts based on - model performance, user feedback

    RAG & Assistant Enablement

    • Work with AI engineers to - improve retrieval quality, design context injection strategies
    • Ensure outputs are – grounded, explainable, aligned with underwriting logic

    Business Alignment

    • Translate underwriting workflows into prompt logic
    • Incorporate domain-specific language, risk indicators, and business rules
    • Collaborate with underwriters and SMEs

    Prompt Governance

    • Maintain prompt library and versioning
    • Define templates for different LOBs and use cases
    • Ensure consistency across assistant and workflows

    Candidate Profile:

    • Experience: 5–8+ years with 2–4+ years in GenAI / prompt engineering
    • Domain (Mandatory): Strong insurance / underwriting knowledge
    • Education: Bachelor's/Master's in Engineering, Data Science, Business Analytics, or related
    • Profile Type: Hybrid business + technical, strong analytical thinker

    Technical skills:

    • GenAI & Prompting - prompt engineering techniques (few-shot, chain-of-thought, structured prompts);Experience with Azure OpenAI / LLM APIs; Prompt versioning and optimization
    • RAG & Retrieval Awareness - understanding of Azure AI Search and retrieval behavior; Context design and grounding strategies; Ability to reduce hallucinations via prompt + retrieval design
    • Evaluation & Quality - LLM-as-judge / evaluation frameworks; Output validation and benchmarking; A/B testing of prompts
    • Safety & Governance - Awareness of guardrails (NeMo Guardrails); PII handling (Presidio); Responsible AI practices
    • Collaboration & Tools - Familiarity with APIs, JSON, and structured outputs; Basic Python; Working with AI engineers and data teams

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