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Retrieval Augmented Generation Jobs in Randolph, NJ

PB consulting

AI Programmer Analyst

Rutherford, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Verona, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

South Orange, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Glen Ridge, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Bloomfield, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Wallington, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Hillside, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

East Rutherford, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Irvington, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

PB consulting

AI Programmer Analyst

Maplewood, NJ · On-site

The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI ...

Concord Advice

Data Scientist - Intern

Florham Park, NJ · On-site

$40K - $70K/yr

Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI -- from large-language-model (LLM) agents and retrieval-augmented generation ...

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.

IPolarity LLC

Generative AI Engineer

Whippany, NJ · On-site

$70/hr

RAG (Retrieval-Augmented Generation) * Workflow Automation & Integrations * Strong Communication and Stakeholder Engagement Preferred Skills * AI Black Belt certification/expertise * Firewall, Data ...

Rarefied IT Solutions Inc

AI Engineer

Woodbridge, NJ · On-site

$90 - $120/hr

Strong understanding of agentic AI concepts, Retrieval-Augmented Generation (RAG), Memory-Context-Persistence (MCP), and emerging trends in Generative AI (GenAI). * Programming & Frameworks:

Northern Base

Gen AI Copilot Lead

Edison, NJ · On-site

Retrieval-Augmented Generation (RAG) * Vector Databases * LLM Evaluation & Optimization * Python / C# / JavaScript Development * REST APIs & Enterprise Integration Patterns * Azure Cloud Architecture

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All JobsRetrieval Augmented Generation JobsRetrieval Augmented Generation Jobs in Randolph, NJ

Retrieval Augmented Generation information

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What cities near Randolph, NJ are hiring for Retrieval Augmented Generation jobs?

Cities near Randolph, NJ with the most Retrieval Augmented Generation job openings:

Retrieval Augmented Generation jobs near you

AI Programmer Analyst

PB consulting

Rutherford, NJ • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Summary

We are seeking an experienced AI Programmer Analyst to design, develop, and implement enterprise AI solutions that solve complex business challenges and improve operational efficiency. The ideal candidate will have hands-on experience building AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and enterprise AI platforms. This role involves collaborating with business and technology teams to deliver scalable, secure, and responsible AI solutions from concept through production deployment.

Roles and Responsibilities
  • Partner with business and technology stakeholders to identify, evaluate, and implement AI-driven solutions.
  • Design, prototype, develop, test, deploy, and maintain enterprise AI applications and intelligent automation solutions.
  • Evaluate and select appropriate AI models, frameworks, and architectures based on business and technical requirements.
  • Develop and optimize prompts, AI agents, workflows, orchestration pipelines, and retrieval strategies to improve solution accuracy and effectiveness.
  • Integrate AI solutions with enterprise applications, APIs, databases, and business processes.
  • Build scalable AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures.
  • Design AI-powered monitoring pipelines that analyze application, server, and database logs to predict system anomalies, recommend real-time resolutions, and automate root-cause analysis.
  • Monitor AI model performance, reliability, accuracy, and adoption while continuously improving deployed solutions.
  • Ensure AI solutions comply with security, governance, privacy, and Responsible AI standards.
  • Create technical documentation, architecture diagrams, implementation guides, and operational runbooks.
  • Participate in CI/CD processes, source control, testing, and DevOps practices for AI application delivery.
  • Research and recommend emerging AI technologies, frameworks, and best practices.
Required Skills
  • 2–10 years of experience in software development, AI application development, or machine learning engineering.
  • Strong experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and AI orchestration frameworks.
  • Hands-on experience with enterprise AI platforms such as Azure AI, Microsoft Copilot Studio, Gemini Enterprise, or similar AI services.
  • Strong Python programming skills with AI/ML libraries and frameworks.
  • Experience integrating AI solutions with enterprise applications, REST APIs, databases, and cloud platforms.
  • Strong SQL and data analysis skills.
  • Experience with cloud-based AI services and enterprise AI platforms.
  • Solid understanding of AI/ML concepts, model evaluation techniques, model limitations, and Responsible AI practices.
  • Experience with Git, version control, DevOps, and CI/CD pipelines.
  • Strong analytical, problem-solving, communication, and documentation skills.
Preferred Skills
  • Experience implementing AIOps solutions for predictive log analysis, automated incident remediation, and root-cause analysis.
  • Experience with monitoring and observability platforms.
  • Familiarity with MLOps practices, model deployment, monitoring, and lifecycle management.
  • Experience developing scalable AI applications in cloud environments.
Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field (or equivalent experience).

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