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Prompt Md Jobs (NOW HIRING)

Technogen, Inc.

Prompt Engineer

Jersey City, NJ · On-site

MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ... Prompt Engineer Location: Jersey City, NJ (4 days onsite per week and a F2F interview at the client ...

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How much do prompt md jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for prompt md in the United States is $15.55, according to ZipRecruiter salary data. Most workers in this role earn between $14.66 and $16.83 per hour, depending on experience, location, and employer.

What is a prompt MD?

Prompt Engineers are professionals who specialize in creating, refining, and optimizing prompts for artificial intelligence (AI) language models such as ChatGPT. Their primary responsibility is to design effective instructions or queries that guide AI systems to generate specific, accurate, and relevant responses. Prompt Engineers often work closely with developers, data scientists, and product teams to ensure AI models perform well in real-world applications.

What are the key skills and qualifications needed to thrive as a prompt MD, and why are they important?

To thrive as a Prompt Engineer, you need a strong foundation in natural language processing, programming (often Python), and an understanding of machine learning concepts, typically supported by a degree in computer science or a related field. Familiarity with AI/ML frameworks (such as TensorFlow or PyTorch), APIs of large language models, and prompt design tools is essential. Creative problem-solving, attention to detail, and effective communication are standout soft skills in this role. These skills and qualities are crucial for crafting effective prompts, optimizing AI outputs, and ensuring robust interaction between users and AI systems.

What are some typical challenges faced by prompt MDs when collaborating with interdisciplinary teams?

Prompt MDs often work closely with data scientists, software engineers, and subject matter experts to design and refine AI prompts. A common challenge is ensuring clear communication across disciplines, as team members may have varying levels of technical and clinical expertise. Balancing clinical accuracy with AI model capabilities and limitations can also be demanding. Successful Prompt MDs proactively bridge knowledge gaps and foster collaborative problem-solving to achieve effective, safe, and user-friendly AI solutions.

What is the difference between Prompt Md vs Medical Writer?

AspectPrompt MdMedical Writer
Required CredentialsMedical degree, clinical experienceAdvanced degree in life sciences, writing certifications
Work EnvironmentHealthcare settings, research institutionsPharmaceutical companies, medical communication agencies
Industry UsageClinical decision support, patient careRegulatory documents, scientific publications
Common Search IntentClinical decision-making, patient managementScientific content creation, regulatory writing

Prompt Md professionals focus on clinical decision support and patient care, often with medical degrees and clinical backgrounds. Medical Writers typically hold advanced degrees in sciences and specialize in creating scientific and regulatory documents. While both roles require strong medical knowledge, Prompt Md roles are more patient-centered, whereas Medical Writers concentrate on scientific communication and documentation.

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Prompt Md jobs near you
Infographic showing various Prompt Md job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $32,343 per year, or $15.5 per hour.

Prompt Engineer

Technogen, Inc.

Jersey City, NJ • On-site

Other

Re-posted 2 days ago

Job description

TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.

TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.


Job Title: Prompt Engineer
Location: Jersey City, NJ (4 days onsite per week and a F2F interview at the client's Jersey City location is mandatory.)
Need locals only or from nearby states
ss are eligible
Job Description:

LLM Interaction Design / Prompt Optimization / GenAI Application Quality

Level

Specialist Individual Contributor

Target / alternate titles

Prompt Engineer; LLM Interaction Designer; Conversational AI Designer; GenAI Specialist; AI Content Designer; NLP Prompt Specialist

Core keywords

prompt engineering, system prompt, few-shot, RAG, prompt evaluation, prompt injection, jailbreak, conversational AI, LangChain, Semantic Kernel, LlamaIndex, AWS Bedrock, Azure OpenAI, Copilot Studio, Power Platform

Recruiter red flags

Only casual ChatGPT usage; no structured evaluation; no understanding of RAG or prompt security; no prompt versioning; unable to quantify improvement or work within regulated business controls.

Role purpose

Design, test, govern, and continuously improve prompts, system instructions, conversation flows, and interaction patterns for AIRP LLM applications and related citizen-development experiences. The role ensures model outputs are accurate, grounded, safe, consistent, cost-aware, and aligned with business and compliance expectations.

Client-specific emphasis

  • Prompt work must support enterprise business use cases, not generic chatbot experimentation.
  • Reusable prompt patterns should be suitable for AIRP and, where applicable, Copilot Studio / Power Platform citizen-development scenarios.
  • Candidates must understand prompt security, sensitive data handling, citations/grounding, and structured evaluation.

Primary ownership

  • Prompt patterns, system instructions, response templates, and conversation policies for AIRP LLM use cases.
  • Prompt testing, versioning, evaluation, and quality-improvement workflows.
  • Reusable prompt libraries and guardrail patterns for business teams and responsible citizen development where applicable.

Key responsibilities

  • Design prompts for chatbots, copilots, RAG systems, document analysis, summarization, workflow agents, knowledge assistants, and decision-support experiences.
  • Develop system prompts, few-shot examples, tool-use instructions, response formats, escalation logic, citation behavior, and conversation policies.
  • Optimize prompts for KYC support, credit underwriting support, governance tracking, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening use cases.
  • Build reusable prompt libraries and templates aligned to enterprise standards, business domains, AIRP patterns, and citizen-development guardrails.
  • Evaluate prompt performance using metrics such as task success, groundedness, hallucination *, completeness, safety, user satisfaction, latency, and token cost.
  • Partner with engineers to implement prompt versioning, testing, deployment, and monitoring in production systems and CI/CD workflows.
  • Support RAG quality by assessing retrieval context, chunking quality, source citation behavior, response synthesis, and missing-context behavior.
  • Conduct adversarial testing for prompt injection, jailbreaks, instruction conflicts, sensitive-data leakage, unsafe outputs, and unauthorized tool use.

Must-have candidate profile

  • Strong understanding of LLM behavior, prompt design, tokenization, context windows, RAG, embeddings, and model limitations.
  • Hands-on experience with OpenAI APIs, Azure OpenAI, AWS Bedrock, Anthropic, LangChain, LlamaIndex, Semantic Kernel, Copilot Studio, or similar platforms.
  • Ability to debug LLM outputs using structured testing, error analysis, and iterative refinement.
  • Strong writing, analytical, communication, and stakeholder-management skills.
  • Understanding of prompt-security risks including prompt injection, jailbreaks, data leakage, hallucination, and instruction conflicts.
  • Ability to create repeatable prompt templates and evaluation evidence suitable for enterprise governance.

Preferred experience

  • Background in NLP, conversational AI, UX writing, technical writing, product design, knowledge management, business analysis, or financial-services operations.
  • Experience in financial services, legal, compliance, risk, operations, customer support, banker productivity, or enterprise knowledge domains.
  • Familiarity with Microsoft Copilot Studio, Power Platform, prompt registries, A/B testing, human review workflows, and evaluation tooling.

Initial screening questions

  • Show how you improved a weak LLM output through prompt design and testing.
  • How do you evaluate prompt performance beyond subjective quality?
  • How would you create reusable prompt templates for KYC, pitch book generation, Customer 360, or sanctions screening?
  • How do you prevent prompt injection, data leakage, or instruction conflicts?
  • How do you work with engineers to move prompts into production safely?
  • How would you govern prompts used by citizen developers in Copilot Studio or Power Platform?
Akanksha Agarwal | Sr. US IT Recruiter

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