ZipRecruiter

Log In

1

Retrieval Augmented Generation Jobs in New York (NOW HIRING)

TheLab

AI Developer

Manhattan, NY · On-site

$115K/yr

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

Pearson Education

Staff Software Engineer

Hoboken, NJ · On-site

$150K - $165K/yr

Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI ...

Maven Companies

Agentic AI Engineer

Manhattan, NY · On-site

Strong knowledge of Retrieval-Augmented Generation (RAG). * Experience with OpenAI GPT-4.x, Claude, Gemini, or Llama models. * Strong Python programming experience. * Experience with FastAPI, REST ...

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:

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 ...

Winaxis

AI Engineer

Jersey City, NJ · On-site

$101K - $139K/yr

Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.). Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents. Write clean ...

Maven Companies

Agentic AI Engineer

Manhattan, NY · On-site

... Retrieval-Augmented Generation (RAG). · Experience with OpenAI GPT-4.x, Claude, Gemini, or Llama models. · Strong Python programming experience. · Experience with FastAPI, REST APIs, and ...

Palnar

GEN AI Architect@ NYC, NY & Charlotte, NC

Manhattan, NY · On-site

$69.50 - $91.50/hr

Define solution patterns for prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning * Collaborate with business, data, and engineering teams to identify GenAI use cases * Select ...

Pearson

Staff Software Engineer

Hoboken, NJ · Hybrid

$150K - $165K/yr

Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI ...

Pearson

Staff Software Engineer

Hoboken, NJ · Hybrid

$150K - $180K/yr

Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI ...

Pearson Education

Staff Software Engineer

Hoboken, NJ · On-site

$150K - $180K/yr

Design and implement Retrieval-Augmented Generation (RAG) pipelines. * Apply advanced prompt engineering techniques to improve learning personalization and response quality. * Evaluate emerging AI ...

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 ...

Compugra Systems

Lead Applied AI Engineer

Manhattan, NY · On-site

$113K - $148K/yr

Architect comprehensive end-to-end AI systems including: o Advanced RAG (Retrieval-Augmented Generation) pipelines Multi-stage retrieval and re-ranking architectures Agent orchestration frameworks ...

Tavily Inc

Forward Deployed Engineer

New York, NY · On-site

Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help ...

previous page

Showing results 41-60

All JobsRetrieval Augmented Generation JobsRetrieval Augmented Generation Jobs in New York

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

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

What are popular job titles related to Retrieval Augmented Generation jobs in New York?

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

What job categories do people searching Retrieval Augmented Generation jobs in New York look for?

The top searched job categories for Retrieval Augmented Generation jobs in New York are:

What cities in New York are hiring for Retrieval Augmented Generation jobs?

Cities in New York with the most Retrieval Augmented Generation job openings:

Retrieval Augmented Generation jobs near you
Infographic showing various Retrieval Augmented Generation job openings in New York as of August 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

AI Developer

TheLab

Manhattan, NY • On-site

$115K/yr

Full-time

Re-posted 2 days ago

Job description

Position Summary:
As an AI Developer, you will design, build, and optimize AI-powered tools, automations, and workflows that enhance creative production across Wellcom HOME. Working closely with production teams, engineers, creatives, and AI specialists, you'll transform business challenges into scalable AI solutions that improve efficiency, quality, and innovation.
This role combines software development, AI integration, and workflow automation to create production-ready systems that support content creation, asset management, CGI, VFX, and marketing operations.
Key Responsibilities:
  • Design and develop AI-powered applications, services, and internal tools.
  • Build scalable automation workflows that improve creative and production processes.
  • Integrate Large Language Models (LLMs), computer vision, generative AI, and machine learning technologies into existing production pipelines.
  • Develop APIs and backend services that connect AI solutions with internal systems.
  • Collaborate with creative, production, CGI, VFX, and technology teams to identify automation opportunities.
  • Optimize AI models for speed, accuracy, reliability, and cost efficiency.
  • Build reusable components and internal frameworks that accelerate AI development.
  • Troubleshoot production issues and continuously improve system performance.
  • Maintain documentation for AI tools, workflows, and technical implementations.
  • Stay current with emerging AI technologies and recommend innovative applications that enhance Wellcom HOME.

Required Qualifications:
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or equivalent experience.
  • Strong programming experience with Python.
  • Experience building applications using modern AI frameworks and APIs.
  • Experience working with REST APIs and cloud services.
  • Understanding of machine learning concepts and prompt engineering.
  • Experience with version control (Git).
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:
  • Experience with Generative AI platforms (OpenAI, Anthropic, Gemini, etc.).
  • Experience using LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.
  • Experience deploying AI applications to cloud platforms such as Azure, AWS, or Google Cloud.
  • Familiarity with Docker and containerized deployments.
  • Knowledge of vector databases and Retrieval-Augmented Generation (RAG).
  • Experience integrating AI into production, marketing, media, or creative workflows.
  • Experience with image, video, or 3D AI technologies.

Technical Skills:
Programming
  • Python
  • JavaScript / TypeScript
  • SQL

AI & Machine Learning
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AI Agents
  • Machine Learning fundamentals

Cloud & Infrastructure
  • Azure, AWS, or Google Cloud
  • Docker
  • Git
  • CI/CD

Development
  • REST APIs
  • Backend development
  • Workflow automation
  • Data integration

Success in This Role:
A successful AI Developer will:
  • Build AI solutions that streamline production workflows.
  • Improve operational efficiency through automation.
  • Deliver reliable, scalable AI applications for internal teams.
  • Collaborate effectively across creative, production, and engineering functions.
  • Drive continuous innovation while maintaining security, quality, and performance standards.

Apply