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Ai Rag Jobs in Dover, NJ (NOW HIRING)

Brillio

AI Architect - R01566870

Edison, NJ · On-site

$85 - $90/hr

Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols ...

Brillio

AI Architect - R01566870

Edison, NJ · Hybrid

$85 - $90/hr

Good understanding of Generative AI concepts, including Large Language Models (LLMs), prompt engineering, Retrieval-Augmented Generation (RAG), AI agents, and emerging AI frameworks and protocols ...

Monitise

Senior AI Solutions Engineer

Berkeley Heights, NJ · On-site

$128K - $216K/yr

Job Title Senior AI Solutions Engineer About the role As a Senior AI Solutions Engineer, you will ... Design multi-step agent architectures: tool use, retrieval (RAG), memory, orchestration across ...

Weply

Senior Applied AI Engineer - EU based

Union, NJ · On-site

$100 - $130/hr

Design and build AI systems that work in the real world * Lead the architecture, design, and ... RAG pipelines, multi-step agents, retrieval systems, tool calling, and fallbacks * Make decisions ...

New

iTech US, Inc.

AI/ML Engineer (MLops)

Woodbridge, NJ · On-site

AI/ML Engineer (MLOps) Iselin, NJ 12 months Technical Expertise ML/Al Frameworks: PyTorch ... GPT-4/Claude API, LoRA/QLoRA fine-tuning, RAG (FAISS, Pinecone, ChromaDB), prompt engineering ...

ClifyX

AI Architect - COE Healthcare

Edison, NJ · On-site

... RAG implementation, and techniques for fine-tuning models • Extensive experience with cloud platforms (AWS, Azure, or GCP) and related AI services • Strong background in data engineering ...

Verizon

Principal AI Engineer

Basking Ridge, NJ · On-site

Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases and ... BigQuery pipelines, GCP (Cloud Run, Vertex AI). * Experience with Python, R, and SQL for advanced ...

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Showing results 41-60

All JobsAi Rag JobsAi Rag Jobs in Dover, NJ

Ai Rag information

See Dover, NJ salary details

$32.8K

$59.7K

$85.6K

How much do ai rag jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai rag in Dover, NJ is $59,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,200.00 and $66,600.00 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 cities near Dover, NJ are hiring for Ai Rag jobs? Cities near Dover, NJ with the most Ai Rag job openings:
Ai Rag jobs near you

Lead AWS AI Engineer

Accord Technologies Inc.

Piscataway, NJ • On-site

$104K - $137K/yr

Contractor

Re-posted 22 hours ago

Job description

Title: Lead AWS AI Engineer 
Location: Piscataway, NJ
Experience level: min 10+ years
Position type: W2 position
Start Date – Immediate
 

Mandatory skills: AWS AI stack, Amazon Transcribe, Amazon Comprehend, Amazon Bedrock
 

Role Summary

We are seeking an experienced AWS AI Engineer – Lead to design, develop, and lead enterprise-scale AI/ML solutions on AWS.
The ideal candidate will have strong expertise in the AWS AI stack, with hands-on experience in Amazon Transcribe, Amazon Comprehend, and Amazon Bedrock, along with a proven ability to architect and deploy intelligent, scalable, and secure cloud-native solutions.

Key Responsibilities

  • Lead the design and implementation of AI/ML solutions using AWS services.
  • Architect and build intelligent applications leveraging the AWS AI stack.
  • Develop and integrate solutions using:Amazon Transcribe for speech-to-text and audio processing use cases
  • Amazon Comprehend for natural language processing, sentiment analysis, entity recognition, and text analytics
  • Amazon Bedrock for building generative AI applications using foundation models
  • Collaborate with business, product, and engineering teams to identify AI-driven opportunities and translate requirements into scalable solutions.
  • Design end-to-end data and AI workflows, including ingestion, preprocessing, model integration, and deployment.
  • Ensure AI solutions meet security, compliance, performance, and cost-optimization requirements.
  • Guide the team on best practices for AWS architecture, MLOps, and AI solution deployment.
  • Provide technical leadership, mentoring, and code/design reviews for junior engineers.
  • Evaluate emerging AWS AI/ML services and recommend innovative solutions for business needs.

Required Skills

  • Strong experience as an AWS AI Engineer / Lead AI Engineer / Solution Architect.
  • Deep hands-on expertise in the AWS AI stack, especially:
  • Amazon Transcribe
  • Amazon Comprehend
  • Amazon Bedrock
  • Strong understanding of AI/ML solution architecture on AWS.
  • Experience building NLP, speech analytics, and generative AI applications.
  • Proficiency in Python and working knowledge of APIs, SDKs, and cloud-native integrations.
  • Experience with AWS services such as Lambda, S3, API Gateway, Step Functions, IAM, CloudWatch, and SageMaker.
  • Knowledge of prompt engineering, foundation models, and LLM-based application development.
  • Experience with CI/CD, DevOps, and MLOps practices in cloud environments.
  • Strong understanding of security, scalability, and cost optimization in AWS.
  • Excellent problem-solving, leadership, and stakeholder management skills.

Preferred Qualifications

  • AWS certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect.
  • Experience with enterprise AI transformation programs.
  • Familiarity with vector databases, RAG architectures, and conversational AI solutions.
  • Experience in deploying production-grade generative AI solutions.