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Ai Rag Jobs in Boonton, NJ (NOW HIRING)

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

Responsibilities : • Proficiency in technologies like Agentic AI, Gen AI, RAG, Python, Lang Graph, Lang Chain • Design, build, and deploy agentic AI systems using generative AI models, agent ...

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph/Vector Datastores Role summary We're looking for a strong agentic AI developer who can build and ...

FAVARH

AVP, Applied AI & Engineering

New York, NY · On-site +1

Reuse common assets such as agents, prompt libraries, RAG patterns, evaluation approaches, semantic search, APIs, and workflow automation. Lead Applied AI Across Investment Management * Build ...

Dell, Inc.

Product Sales Specialist, AI Data Platform

NY · On-site +1

$272K - $370K/yr

... RAG) at a business and value level. • Articulate how Dell products enable AI applications through retrieval-augmented generation (RAG) and unstructured data processing for use cases like ...

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All JobsAi Rag JobsAi Rag Jobs in Boonton, NJ

Ai Rag information

See Boonton, NJ salary details

$33.1K

$60.2K

$86.2K

How much do ai rag jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai rag in Boonton, NJ is $60,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $67,100.00 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 are popular job titles related to Ai Rag jobs in Boonton, NJ? For Ai Rag jobs in Boonton, NJ, the most frequently searched job titles are:
What job categories do people searching Ai Rag jobs in Boonton, NJ look for? The top searched job categories for Ai Rag jobs in Boonton, NJ are:
What cities near Boonton, NJ are hiring for Ai Rag jobs? Cities near Boonton, NJ with the most Ai Rag job openings:
Ai Rag jobs near you
Infographic showing various Ai Rag job openings in Boonton, NJ as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 80% In-person, 15% Hybrid, and 5% Remote job distribution, with an average salary of $60,163 per year, or $28.9 per hour.

Engagement Architect (Agentic AI/RAG)

Lorven Technologies

Jersey City, NJ • On-site

Full-time

Posted 22 days ago

Job description

Job Title: Engagement Architect (Agentic AI / RAG)
Location: New York / New Jersey (Onsite)
Job Type: Full-Time
Experience Required: 12+ Years
Job Summary:
We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture. The ideal candidate will lead the architecture, design, governance, and implementation of enterprise-scale AI solutions across AWS and GCP while collaborating with technical stakeholders to deliver secure, scalable, and production-ready AI platforms.
Required Skills:
  • 12+ years of IT experience with enterprise architecture.
  • Strong expertise in Agentic AI architecture and RAG (Retrieval-Augmented Generation/Reasoning).
  • Experience with multi-agent orchestration and agent harness design.
  • Hands-on experience in spec-driven development and design-to-code conversion.
  • Strong knowledge of prompt engineering, evaluation engineering, and reasoning frameworks.
  • Experience designing retrieval pipelines, semantic search, and knowledge graph integration.
  • Expertise in AWS and Google Cloud Platform (GCP).
  • Strong understanding of enterprise security architecture, Identity-as-Code, and Policy-as-Code.
  • Experience with design-time and runtime AI governance.
  • Knowledge of React-pattern reasoning loops.
  • Excellent architecture documentation and stakeholder communication skills.
Responsibilities:
  • Lead end-to-end architecture for enterprise Agentic AI solutions.
  • Design and build supervisor, intake, and data-source-level AI agents.
  • Implement multi-agent orchestration and reasoning workflows.
  • Design, optimize, and tune Retrieval-Augmented Generation (RAG) pipelines.
  • Lead prompt engineering and AI model evaluation strategies.
  • Ensure secure, scalable AI architecture aligned with enterprise standards.
  • Oversee design-to-code conversion, implementation reviews, and testing.
  • Create architecture documentation, diagrams, and technical standards.
  • Conduct architecture review sessions and collaborate with engineering teams and client stakeholders.
  • Drive governance, security, and best practices across AI implementations.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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