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Entry Level Retrieval Augmented Generation Jobs in New Jersey

Concord Advice

Data Scientist - Intern

Florham Park, NJ · On-site

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 ...

Wise Skulls

Senior Python AI Engineer

Mount Laurel, NJ · On-site

$120K - $161K/yr

Have prior knowledge & hands on Experience with - Building production-ready AI services and APIs using Python LLM integration Prompt engineering frameworks RAG (Retrieval-Augmented Generation ...

Apptad, Inc.

AI Architect

Hoboken, NJ · On-site

Mastery of deep learning frameworks like PyTorch or TensorFlow , large language models ( LLMs ), and retrieval-augmented generation ( RAG ) pipelines. * Cloud & Infrastructure: Experience with cloud ...

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:

VKore Solutions LLC

AI Technical Architect

Hoboken, NJ · On-site

$72.50 - $87.50/hr

Mastery of deep learning frameworks like PyTorch or TensorFlow, large language models (LLMs), and retrieval-augmented generation (RAG) pipelines. Cloud & Infrastructure: Experience with cloud ...

Prophecy Technologies

AI Architect

Plainsboro, NJ · On-site

$65.25 - $84/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 ...

Accord Technologies Inc.

Senior AI Engineer

Piscataway, NJ · On-site

$106K - $146K/yr

Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering. * Work with cloud AI services such ...

Triunity Software, Inc.

AI Engineer

Jersey City, NJ · On-site

$95 - $135/hr

Familiarity with embeddings, vector databases, or retrieval augmented generation (RAG). * Experience deploying services in cloud environments (AWS, Azure, or GCP). * Interest in agentic AI ...

E-Solutions, Inc.

Experience building RAG (Retrieval-Augmented Generation) solutions. * Strong understanding of GitHub Actions , CI/CD pipelines, and deployment automation. * Experience with REST APIs, microservices ...

NeoTech Solutions

Experience building RAG (Retrieval-Augmented Generation) solutions. * Strong understanding of GitHub Actions , CI/CD pipelines, and deployment automation. * Experience with REST APIs, microservices ...

MUFG

ML Engineer, Analyst

Jersey City, NJ · Hybrid

... Retrieval-Augmented Generation (RAG) & Data Integration * Assist in building and testing RAG ... Required (Entry-Level) * Bachelor's degree in: Advanced degree in Computer Science, Engineering ...

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 ...

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Entry Level Retrieval Augmented Generation information

What is an entry level retrieval augmented generation job?

Entry level retrieval augmented generation jobs involve assisting in the development and optimization of AI systems that combine information retrieval techniques with generative models. Employees in these roles typically help build, test, and maintain systems where AI retrieves relevant data from large databases to enhance the accuracy and relevance of generated responses. These positions often require basic skills in programming, machine learning, and familiarity with natural language processing. They are ideal for recent graduates or those new to AI, offering opportunities to learn about modern AI architectures and contribute to innovative projects. Entry level workers may work under the guidance of senior engineers or researchers, supporting experimentation and evaluation tasks.

What are the key skills and qualifications needed to thrive as an entry level retrieval augmented generation specialist?

To thrive as an Entry Level Retrieval Augmented Generation Specialist, you need a foundational understanding of natural language processing (NLP), information retrieval, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, vector databases (like FAISS or Pinecone), and frameworks for large language models (LLMs) is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and troubleshoot solutions in team environments. These skills and qualities are crucial for building reliable RAG systems that deliver accurate and relevant information to users.

What are some common challenges faced by entry-level professionals working in retrieval augmented generation roles?

Entry-level professionals in Retrieval Augmented Generation (RAG) often encounter challenges such as understanding how to effectively combine information retrieval systems with large language models and adapting to rapidly evolving technologies. Balancing accuracy and efficiency when designing or fine-tuning retrieval pipelines can also be a learning curve. Additionally, you may need to collaborate closely with data engineers, machine learning specialists, and product teams to ensure the RAG system aligns with business requirements. Staying proactive in learning and engaging with peers can help overcome these challenges and accelerate career growth.

What is the difference between Entry Level Retrieval Augmented Generation vs Entry Level Data Scientist?

AspectEntry Level Retrieval Augmented GenerationEntry Level Data Scientist
Required CredentialsBasic programming, understanding of NLP and AI conceptsBachelor's in Data Science, Computer Science, or related field
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, consulting
Industry UsageAI development, NLP applications, chatbot creationData analysis, predictive modeling, data-driven decision making

Entry Level Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with generative AI, requiring knowledge of NLP and programming. Entry Level Data Scientist involves analyzing data, building models, and deriving insights, often with a broader data analysis skill set. While both roles require technical skills, Retrieval Augmented Generation is more specialized in AI model development, whereas Data Scientists work across various data projects.

What are the most commonly searched types of Retrieval Augmented Generation jobs in New Jersey?

The most popular types of Retrieval Augmented Generation jobs in New Jersey are:

What are popular job titles related to Entry Level Retrieval Augmented Generation jobs in New Jersey?

For Entry Level Retrieval Augmented Generation jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Entry Level Retrieval Augmented Generation jobs in New Jersey look for?

The top searched job categories for Entry Level Retrieval Augmented Generation jobs in New Jersey are:

Entry Level Retrieval Augmented Generation jobs near you
Infographic showing various Entry Level Retrieval Augmented Generation job openings in New Jersey as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution.

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

Jersey City, NJ • On-site

Zodiac Solutions
Library and Information Services • 11 - 50 employees
Learn more about Zodiac Solutionsexternal

$126K - $170K/yr

Full-time

Re-posted 12 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.