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Ai Rag Jobs in Dover, NJ (NOW HIRING)

ClinDCast LLC

AI Engineer

Warren, NJ · On-site

AI/ML Engineer - Generative AI & LLM Job Summary We are seeking a skilled AI/ML Engineer with ... Build Retrieval-Augmented Generation (RAG) pipelines using vector databases to enhance response ...

Tata Consultancy Service Limited

AI Architect

Edison, NJ · On-site

$170K - $180K/yr

Must Have Technical/Functional Skills • 1015 years in AI, ML, or enterprise architecture roles. • Proven track record architecting RAG systems, vector search, and LLM-based knowledge platforms ...

eTeam

AI/ML Data Architect

Basking Ridge, NJ · On-site

$65.75 - $84.50/hr

Responsibilities : • Design and implement LLM-enabled architectures, including RAG (Retrieval ... AI agents and multi-agent systems for automation, diagnostics, decision support, and workflow ...

CoAction

Senior AI Engineer

Morristown, NJ · On-site

$107K - $147K/yr

Develop and maintain retrieval-augmented generation (RAG) solutions for document-heavy workflows (e ... Create reusable AI components including Agentic Platform components to accelerate delivery across ...

CoAction

Senior AI Engineer

Morristown, NJ · On-site

$107K - $147K/yr

Develop and maintain retrieval-augmented generation (RAG) solutions for document-heavy workflows (e ... Create reusable AI components including Agentic Platform components to accelerate delivery across ...

Deloitte

AI Engineer Consultant

Morristown, NJ · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ...

Deloitte

Google AI Lead Architect

Morristown, NJ · On-site

$56.75 - $78/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

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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

Senior AI Engineer

LE003 Coaction Specialty Management Company, Inc.

Morristown, NJ • On-site

$140 - $190/hr

Other

Medical, Dental, Retirement, PTO

Posted 3 days ago

New

Job description

Role Overview

This is our first dedicated AI Engineering role. This role will be instrumental in shaping how we design, build, deploy, and operate AI‑powered solutions safely and responsibly. The ideal candidate is pragmatic and hands‑on—focused on putting AI into production (not research‑only)—and comfortable building repeatable patterns, playbooks, and guardrails from the ground up.

Responsibilities
  • Implement AI-enabled features, services, and APIs that integrate into existing enterprise workflows and applications, while adhering to established engineering, architecture, and security practices.
  • Design and build integration patterns for external AI services (LLMs and ML APIs), including secure data handling, access controls, and auditability.
  • Develop and maintain retrieval‑augmented generation (RAG) solutions for document‑heavy workflows (e.g., submissions, endorsements, claims documentation) using enterprise data sources.
  • Collaborate with Architecture and Engineering to support the implementation of an Agentic AI platform reference architecture and implementation.
  • Create reusable AI components including Agentic Platform components to accelerate delivery across multiple use cases.
  • Partner with architecture, engineering, data, and business stakeholders to translate needs into solution designs, requirements, and delivery plans.
  • Establish AI engineering best practices for testing and evaluation (quality, safety, regression testing), and incorporate them into CI/CD pipelines.
  • Implement monitoring and observability for AI solutions (latency, cost, quality signals, guardrail events) and define operational runbooks.
  • Collaborate with others to support AI governance controls (vendor/model intake, risk reviews, documentation, and change management).
  • Contribute to security hardening for AI systems, including safeguards against prompt injection, data leakage, and misuse.
  • Document designs and deliver knowledge transfer to broaden internal capability and reduce reliance on external partners over time.
  • Stay up to date with AI engineering tools, platforms, and patterns and recommend pragmatic adoption aligned to business value and risk posture.
Qualifications
  • 5+ years of software engineering experience building production systems (APIs, services, data pipelines, or enterprise integrations).
  • Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field, or equivalent work experience.
  • Strong proficiency in at least one production language such as Python, C#, Java, or similar.
  • Experience integrating third‑party APIs and services; strong understanding of distributed systems, REST/JSON, and authentication/authorization patterns.
  • Hands‑on experience implementing LLM‑based solutions (prompting, structured outputs, tool/function calling) and/or ML‑enabled services.
  • Working knowledge of RAG concepts (embeddings, vector search, grounding/citations); experience with vector databases or enterprise search platforms is a plus.
  • Awareness of LLMOps/MLOps practices: versioning, evaluation, monitoring, incident response, and change control.
  • Experience with cloud platforms (AWS and/or Azure) and production operations (secrets management, logging/monitoring, cost controls).
  • Strong engineering hygiene: source control, code review, automated testing, CI/CD, and performance monitoring.
  • Understanding of AI risk and security considerations (prompt injection, data privacy/PII handling, vendor/model risk management) in regulated environments.
  • Effective verbal and written communication skills; ability to translate business needs into technical solutions.
Salary and Benefits

Salary range: $140,000 – $190,000, plus discretionary incentive bonus and benefits dependent on individual and organizational performance. Compensation will be based on education, experience, and qualifications. Employees are also eligible for a standard benefits package, including paid time off, medical, dental, and retirement.

Equal Opportunity Employer

Coaction is an Equal Employment Opportunity employer. Coaction’s policy is not to discriminate against any applicant or employee based on race, color, religion, national origin, gender, age, sexual orientation, gender identity or expression, marital status, mental or physical disability, and genetic information, or any other basis protected by applicable law. Coaction also prohibits harassment of applicants or employees based on any of these protected categories.

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