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Retrieval Augmented Generation Rag Jobs in Newark, NJ

Accord Technologies Inc.

GEN AI Architect

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Judge Group, Inc.

Agentic AI Architects

Edison, NJ · On-site

$155K - $200K/yr

Design Retrieval-Augmented Generation (RAG) frameworks to enhance accuracy and reliability of AI outputs. * Establish best practices for knowledge retrieval, grounding, and AI response quality.

eTeam

AI/ML Engineer - Generative AI

Manhattan, NY · On-site

... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...

Visvero

Gen AI Architect

Manhattan, NY · On-site

Strongunderstanding and practical experience with Retrieval-Augmented Generation(RAG). * Proficiencyin programming languages such as Python. * Knowledgeof AI model deployment and API integration.

MUFG

AI Foundational Model Engineer

Jersey City, NJ · Hybrid

Develop and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search capabilities. * Evaluate, benchmark, and recommend foundation models based on performance, cost, security ...

Visvero, Inc.

Gen AI Architect

New York, NY

Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.

Concord Advice

Data Scientist - Intern

Florham Park, NJ · On-site

$40K - $70K/yr

Support firm-wide efforts to centralize data definitions and institutional knowledge by helping build retrieval-augmented generation (RAG) workflows, MCP servers, and semantic layers. * Take ...

Cross River

Senior AI/ML Engineer

Fort Lee, NJ

$160K - $200K/yr

Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system * Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI solutions using AWS ...

thelab

AI Developer

Manhattan, NY · On-site

Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...

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Retrieval Augmented Generation Rag information

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How much do retrieval augmented generation rag jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for retrieval augmented generation rag in Newark, NJ is $21.18, according to ZipRecruiter salary data. Most workers in this role earn between $18.08 and $22.12 per hour, depending on experience, location, and employer.

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Retrieval Augmented Generation Rag jobs near you
Infographic showing various Retrieval Augmented Generation Rag job openings in Newark, NJ as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $44,045 per year, or $21.2 per hour.

Sr GenAI Dev with Python - Jersey City, NJ(3 Days hybrid) - Fulltime Opportunity

Zodiac Solutions

Jersey City, NJ • On-site

$126K - $170K/yr

Full-time

Re-posted 24 days ago

Job description

Role: Sr GenAI Dev with Python

Location: Jersey City, NJ(3 Days hybrid) 

Duration: Fulltime Opportunity

Note: Karat assessment is must for this role. 

We are seeking a skilled AI/ML Developer with a strong background in advanced Python programming and expertise in various AI frameworks and models. The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a combination of technical ability, creativity, and a passion for innovation in the AI domain.

Key Responsibilities:

• Develop, test, and deploy advanced AI/ML models and algorithms using Python.

• Design and implement prompt engineering techniques to optimize model responses and performance.

• Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.

• Utilize AI agentic frameworks to create intelligent systems capable of autonomous decision-making.

• Work with large language models (LLMs) to develop applications that understand and generate human-like text.

• Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs.

• Manage and optimize vector databases for efficient storage and retrieval of data used in AI applications.

• Conduct research and stay up-to-date with the latest advancements in AI/ML technologies and methodologies.

• Document processes, models, and methodologies for future reference and knowledge sharing.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• Proven experience in advanced Python programming, with a strong understanding of data structures and algorithms.

• Demonstrated expertise in prompt engineering and its application within AI models.

• Familiarity with AI agentic frameworks and their implementation in real-world applications.

• Experience working with large language models (LLMs) and understanding their architecture and functionalities.

• Knowledge of retrieval-augmented generation (RAG) techniques and vector databases.

• Ability to work effectively in a collaborative environment and communicate complex concepts to non-technical stakeholders.

• Strong analytical and problem-solving skills with a focus on delivering high-quality results.

Preferred Skills:

• Experience with frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face.

• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.

• Knowledge of data preprocessing and data engineering practices.