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Ai Rag Jobs in Hamilton, NJ (NOW HIRING)

Retrieval-Augmented Generation (RAG) * Vector Databases * LLM Evaluation & Optimization * Python ... AI Solution Architecture & Design * Responsible AI, Governance & Security Practices Preferred ...

New

AI Engineer

New York, NY

$110K - $140K/yr

RAG architecture, prompt engineering, and agent-based workflows * Python as the backbone for everything: AI pipelines, automation, backend services, and data engineering Data Platform * Snowflake as ...

LLM applications (RAG, agents, copilots) * Data science and ML model deployment * AI-driven automation and transformation programs * Ensure timely delivery, quality, and cost efficiency across ...

LLM applications (RAG, agents, copilots) * Data science and ML model deployment * AI-driven automation and transformation programs * Ensure timely delivery, quality, and cost efficiency across ...

Gen AI Architect

New York, NY ยท On-site

$69 - $90.75/hr

Role: Gen AI Architect Location: New York city, NY Position type: W2 contract The Role ... Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG ...

Applications of Large Language Models (RAG, agents, copilots) * Deployment of data science and machine learning models * AI-driven automation and business transformation initiatives * Ensure projects ...

Applications of Large Language Models (RAG, agents, copilots) * Deployment of data science and machine learning models * AI-driven automation and business transformation initiatives * Ensure projects ...

AI Engineer

New York, NY

$200K - $250K/yr

Build and deploy research tools leveraging LLMs, RAG architectures, and agentic AI systems. * Develop GenAI applications using both internal platforms and external AI models/APIs. * Lead projects ...

New

Agentic AI Data Architect

New York, NY ยท Hybrid

$69.75 - $89.75/hr

Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool ... NET hybrid) AI & GenAI Enablement * Define where and how to use - GenAI vs deterministic logic ...

... systems, RAG systems, and Open Source LLM deployments for major enterprises Roles ... Stay abreast of the latest advancements in LLM research and generative AI, proposing and ...

Design and develop GenAI solutions using LLMs, RAG, tool calling, and agent-based architectures ... Integrate AI applications with enterprise systems, APIs, databases, document repositories, and ...

Showing results 41-60

Ai Rag information

See Hamilton, NJ salary details

$31.8K

$57.8K

$82.9K

How much do ai rag jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai rag in Hamilton, NJ is $57,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $64,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What job categories do people searching Ai Rag jobs in Hamilton, NJ look for? The top searched job categories for Ai Rag jobs in Hamilton, NJ are:
What cities near Hamilton, NJ are hiring for Ai Rag jobs? Cities near Hamilton, NJ with the most Ai Rag job openings:

Gen AI Copilot Lead

Northern Base

Edison, NJ โ€ข On-site

Full-time

Posted 2 days ago

New


Job description

Hiring Alert | Gen AI Copilot Lead

Employment Type: Full-Time
Experience Required: 6–12 Years
Visa Type: USC / GC Only

Must-Have Skills:
• Microsoft 365 Copilot
• Microsoft Copilot Studio
• Azure OpenAI Service
• Azure AI Foundry
• Azure Cognitive Services
• Microsoft Power Platform
• Microsoft Graph API
• Generative AI & Large Language Models (LLMs)
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases
• LLM Evaluation & Optimization
• Python / C# / JavaScript Development
• REST APIs & Enterprise Integration Patterns
• Azure Cloud Architecture
• AI Solution Architecture & Design
• Responsible AI, Governance & Security Practices

Preferred Experience:
• Experience leading enterprise Generative AI transformation initiatives.
• Strong understanding of Microsoft AI ecosystem and Copilot implementations.
• Experience designing AI assistants, copilots, and agent-based workflows.
• Experience with AI governance, model risk management, data privacy, and compliance.
• Experience integrating AI solutions with enterprise applications and business platforms.
• Strong consulting, communication, stakeholder management, and leadership skills.

Education:
Bachelor’s Degree in Computer Science or related field preferred.

Tech Stack:
Microsoft 365 Copilot | Copilot Studio | Azure OpenAI Service | Azure AI Foundry | Azure Cognitive Services | Microsoft Power Platform | Microsoft Graph API | Generative AI | LLMs | Prompt Engineering | RAG | Vector Databases | LLM Evaluation | Python | C# | JavaScript | REST APIs | Azure Cloud Architecture | AI Solution Architecture | Responsible AI | AI Governance | Enterprise AI Automation | Semantic Kernel | Microsoft Azure | Power Platform | AI Copilot