Prompt Engineer at Inizio Partners Corp

About this role

Role & 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
P rompt 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
Originally posted on Himalayas