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Prompt Engineer Jobs in Edison, NJ (NOW HIRING)

JSR Tech Consulting

AI / ML Engineer

Newark, NJ · On-site

Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads. * Advanced Techniques: Apply advanced GenAI ...

CGI Inc.

Agentic AI Engineer

New Brunswick, NJ · On-site

The ideal candidate will have strong expertise in prompt engineering, agent orchestration, and AI-driven workflow automation using platforms such as Azure AI Foundry or AWS Bedrock. Location: New ...

Photon

Gen AI Engineer - NY

Manhattan, NY · On-site

Generative AI (LLMs, prompt engineering, fine-tuning, RAG) * Agent development using frameworks such as ADK, LangGraph, LangChain Additional Relevant Skills: * Experience building end-to-end AI ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain ...

Photon

Sr Gen AI Engineer - NY/NJ

Manhattan, NY · On-site

Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain ...

Pearson Education

Staff Software Engineer

Hoboken, NJ · On-site

$150K - $180K/yr

Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI technologies and define roadmap integration strategies. Full-Stack ...

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Prompt Engineer information

See Edison, NJ salary details

$10

$48

$91

How much do prompt engineer jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for prompt engineer in Edison, NJ is $48.75, according to ZipRecruiter salary data. Most workers in this role earn between $37.07 and $62.98 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Prompt Engineer position, and why are they important?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a typical day look like for a Prompt Engineer?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, specialized skills, and often leadership roles or equity compensation.

What is a Prompt Engineer job?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with tools like GPT. The role continues to grow alongside advancements in AI technology.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, prompt design, and familiarity with AI tools like GPT are highly valued and can influence compensation.
What are the most commonly searched types of Prompt Engineer jobs in Edison, NJ? The most popular types of Prompt Engineer jobs in Edison, NJ are:
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Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Edison, NJ as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $101,392 per year, or $48.7 per hour.

Senior UiPath Platform Engineer

Guru Schools

Iselin, NJ • On-site

Other

Posted 8 days ago

Job description

Overview:
Position: Senior UiPath Platform Engineer - Application & Automation Enablement.
Location: Iselin NJ (Hybrid).
Role: C2C.
Note: We're seeking 10+ year experience candidate on that role and local NY/NJ
Role Focus: Primary owner of In-house utility development, AI/ML integration, and developer productivity.
This role accelerates business value by building intelligent capabilities on top of stable platforms.
Key Responsibilities
1. In-House Utility & Backend Development (Primary)
  • Design, build, and maintain internal utilities, APIs, and backend services using:
    • C#/.NET / .NET Core
    • Python (API integration, data transformation, ML utilities)
    • Kafka
  • Develop reusable components, automation accelerators, and shared frameworks.
  • Build backend services supporting dashboards, command centers, monitoring, and reporting tools.
  • Conduct design and code reviews; enforce clean coding and engineering standards.
2. GenAI, LLM & AI Platform Engineering (Primary)
  • Design and implement GenAI-driven workflows and decision pipelines.
  • Integrate LLM capabilities including prompt engineering, RAG, embeddings, grounding, and model orchestration.
  • Build and deploy AI Center pipelines, custom ML models, and AI-assisted automations.
  • Evaluate and onboard new AI tools, frameworks, and COTS AI products for enterprise use.
  • Partner with data science, architecture, and security teams to ensure compliant AI deployments.
2. Data, Reporting & SQL Engineering (Primary)
  • Design dashboards for automation performance, AI usage, operational insights, and ROI.
  • Build and maintain reporting pipelines using SQL, Python, ETL, and UiPath Insights.
  • Serve as SQL SME: schema reviews, query optimization, and data accuracy validation.
  • Deliver automated reports for leadership, audit, and operational teams.
3. DevOps & Platform Alignment (Secondary)
  • Contribute to CI/CD pipelines for AI models, utilities, and services.
  • Ensure applications align with platform standards for deployment, monitoring, and security.
  • Collaborate with the Automation & Cloud Reliability Engineer on release and rollout planning.
4. Collaboration, Enablement & Knowledge Sharing
  • Work in Agile teams delivering prioritized automation and AI capabilities.
  • Mentor engineers on GenAI, automation frameworks, and backend development.
  • Lead technical workshops, demos, and documentation for reusable assets.
Required Qualifications
  • Hands-on experience with GenAI / LLM integrations (RAG, embeddings, prompt engineering).
  • Strong development skills in C#/.NET, Python, REST APIs, and backend services.
  • Advanced SQL and analytics experience.
  • Familiarity with CI/CD pipelines and secure SDLC practices.
  • Working knowledge of UiPath ecosystem and automation platforms.

Skills:
SQL,Data Reporting

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