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Llm Prompt Engineer Jobs in Edison, NJ (NOW HIRING)

Prompt Engineer

Jersey City, NJ · On-site

$90 - $120/hr

Partner with engineers to implement prompt versioning, testing, deployment, and monitoring in ... Required Qualifications * 4+ Years of Strong understanding of LLM behavior, prompt design ...

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 Engineer

Jersey City, NJ · On-site

$104K - $182K/yr

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role purpose Design, test, govern, and continuously improve prompts, system instructions, conversation flows ...

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role purpose Design, test, govern, and continuously improve prompts, system instructions, conversation flows ...

Prompt Engineer LLM Interaction Design / Prompt Optimization / GenAI Application Quality Role purpose Design, test, govern, and continuously improve prompts, system instructions, conversation flows ...

Prompt patterns, system instructions, response templates, and conversation policies for AIRP LLM ... Partner with engineers to implement prompt versioning, testing, deployment, and monitoring in ...

... of LLM, Prompt Engineering, RAG Architecture, Agentic AI. • Basic knowledge of Hybrid prompting technique • Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

Founding Prompt Engineer

New York, NY · Remote

$105K - $145K/yr

About the role As a Prompt Engineer at Beam, you'll be at the forefront of deploying our AI ... Designing, building and testing high-quality AI prompt templates using a range of LLM providers ...

Prompt Engineering Collaboration * Async Python Programming * API & Microservices Development * Scalable AI Application Architecture * LLM Guardrails & Safety Mechanisms * Responsible AI & Edge Case ...

Staff Software Engineer

Hoboken, NJ · Hybrid

$150K - $180K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...

QA Engineer (AI Applications) Location: New York, NY Role Summary: Ensure functional, secure, and ... Test LLM prompt stability, hallucination edge cases, and multi-turn conversation flows * Design ...

Staff Software Engineer

Hoboken, NJ · Hybrid

$150K - $165K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...

Staff Software Engineer

Hoboken, NJ · On-site

$150K - $180K/yr

Develop and integrate at least one Large Language Model (LLM) into production workflows. * Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering ...

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Llm Prompt Engineer information

See Edison, NJ salary details

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How much do llm prompt engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for llm prompt engineer in Edison, NJ is $60.27, according to ZipRecruiter salary data. Most workers in this role earn between $47.02 and $73.65 per hour, depending on experience, location, and employer.

What is an LLM Prompt Engineer?

An LLM Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models (LLMs) such as GPT-4. Their role involves crafting effective instructions and queries to guide the model's output for specific applications, ensuring accuracy, relevance, and reliability. They may also analyze model behavior, implement prompt-based workflows, and collaborate with developers to integrate LLMs into products or services. The goal is to maximize the performance and efficiency of language models in various real-world contexts.

What are the key skills and qualifications needed to thrive as an LLM Prompt Engineer?

To thrive as an LLM Prompt Engineer, you need a deep understanding of natural language processing, prompt engineering strategies, and proficiency in programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), large language model APIs, and version control systems is typically required. Strong analytical thinking, creativity, and effective communication are crucial soft skills for crafting precise prompts and collaborating with cross-functional teams. These skills ensure the development of effective, ethical, and high-performing AI-powered solutions that meet diverse user needs.

What are some common challenges faced by LLM Prompt Engineers when designing effective prompts for large language models?

LLM Prompt Engineers often encounter challenges such as ensuring prompts are both clear and unambiguous to elicit accurate model responses, as well as avoiding bias or unintended outputs. Balancing creativity and specificity in prompt design can be tricky, especially when tailoring prompts for diverse user intents or specialized domains. Additionally, prompt engineers must frequently iterate and test their prompts, collaborating closely with data scientists and product teams to continually refine them based on observed model behavior and user feedback.

What is the difference between Llm Prompt Engineer vs Data Scientist?

AspectLlm Prompt EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related fields; familiarity with NLP and AI toolsBachelor's or higher in CS, Statistics, or related fields; strong programming and statistical skills
Work EnvironmentAI labs, tech companies, startups focusing on NLP and AI modelsData analysis, modeling, and visualization in various industries like finance, healthcare, tech
Employer & Industry UsagePrimarily in AI development, NLP projects, and machine learning teamsAcross industries for data analysis, predictive modeling, and decision support

While both roles involve working with data and AI, Llm Prompt Engineers focus on designing prompts for language models, whereas Data Scientists analyze data to derive insights. The roles share similar educational backgrounds and work environments but differ in their core tasks and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with large language models and AI systems. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI applications across industries.

What are popular job titles related to Llm Prompt Engineer jobs in Edison, NJ?

For Llm Prompt Engineer jobs in Edison, NJ, the most frequently searched job titles are:

What job categories do people searching Llm Prompt Engineer jobs in Edison, NJ look for?

The top searched job categories for Llm Prompt Engineer jobs in Edison, NJ are:

What cities near Edison, NJ are hiring for Llm Prompt Engineer jobs?

Cities near Edison, NJ with the most Llm Prompt Engineer job openings:

Prompt Engineer

Jersey City, NJ • On-site

$90 - $120/hr

Other

Posted 7 days ago


Job description

Job Summary

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

Key Responsibilities
  • Design prompts for chatbots, copilots, RAG systems, document analysis, summarization, workflow agents, and knowledge assistants.
  • Develop system prompts, few‑shot examples, tool‑use instructions, response formats, escalation logic, and conversation policies.
  • Optimize prompts for accuracy, relevance, groundedness, tone, compliance, latency, token efficiency, and repeatability.
  • Build reusable prompt libraries and templates aligned to enterprise standards and business domains.
  • Evaluate prompt performance using metrics such as task success, groundedness, hallucination rate, completeness, safety, and user satisfaction.
  • Partner with engineers to implement prompt versioning, testing, deployment, and monitoring in production systems.
  • Support RAG quality by assessing retrieval context, chunking quality, source citation behavior, and response synthesis.
  • Conduct adversarial testing for prompt injection, jailbreaks, instruction conflicts, sensitive‑data leakage, and unsafe outputs.
Required Qualifications
  • 4+ Years of Strong understanding of LLM behavior, prompt design, tokenization, context windows, RAG, embeddings, and model limitations.
  • Hands‑on experience with OpenAI APIs, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Semantic Kernel, 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, and hallucination.
Preferred Qualifications
  • Background in NLP, conversational AI, UX writing, technical writing, product design, knowledge management, or business analysis.
  • Experience in financial services, legal, compliance, risk, operations, customer support, or enterprise knowledge domains.
  • Familiarity with prompt registries, A/B testing, human review workflows, and evaluation tooling.
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