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Prompt Engineer

  • Prompt Engineer job type Posted on: Nov 04, 2026
  • Prompt Engineer experience level Virtusa
  • Prompt Engineer employment type New York, New York
  • Prompt Engineer employment type Onsite
  • Prompt Engineer salary Full-time

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Job Title :

Prompt Engineer

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Key Skills: Prompt Engineering, LLMs (GPT/Claude), Prompt Evaluation & Optimization, LangChain, RAG & AI Agents, Python, API Integration, LLM Security & GuardrailsHaving 8+ years of experience on the following:Prompt Design & Optimization – Craft, test, and refine prompts for LLMs to maximize accuracy, relevance, and consistency across use cases (chatbots, agents, RAG systems).Evaluation & Experimentation – Design evaluation frameworks (A/B testing, benchmarking, rubric-based scoring) to measure prompt performance and iterate systematically.LLM & Tooling Expertise – Deep understanding of LLM behavior (GPT, Claude, etc.), context windows, tokenization, fine-tuning vs. prompting trade-offs, and frameworks like LangChain or similar orchestration tools.Cross-functional Collaboration – Work closely with product, engineering, and data science teams to translate business requirements into effective prompt/agent workflows.Technical & Analytical Skills – Strong Python scripting, API integration, data analysis, and familiarity with prompt security/safety practices (jailbreak prevention, bias mitigation, guardrails).

Jobcon Logo Position Details

Posted:

Nov 04, 2026

Reference Number:

10440_4479719111

Employment:

Full-time

City:

New York

Job Origin:

APPCAST_CPC

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Key Skills: Prompt Engineering, LLMs (GPT/Claude), Prompt Evaluation & Optimization, LangChain, RAG & AI Agents, Python, API Integration, LLM Security & GuardrailsHaving 8+ years of experience on the following:Prompt Design & Optimization – Craft, test, and refine prompts for LLMs to maximize accuracy, relevance, and consistency across use cases (chatbots, agents, RAG systems).Evaluation & Experimentation – Design evaluation frameworks (A/B testing, benchmarking, rubric-based scoring) to measure prompt performance and iterate systematically.LLM & Tooling Expertise – Deep understanding of LLM behavior (GPT, Claude, etc.), context windows, tokenization, fine-tuning vs. prompting trade-offs, and frameworks like LangChain or similar orchestration tools.Cross-functional Collaboration – Work closely with product, engineering, and data science teams to translate business requirements into effective prompt/agent workflows.Technical & Analytical Skills – Strong Python scripting, API integration, data analysis, and familiarity with prompt security/safety practices (jailbreak prevention, bias mitigation, guardrails).

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