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Ai Rag Jobs in Hamilton, NJ (NOW HIRING)

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

Apply RAG techniques to improve information retrieval and decision-making processes. * Collaborate with cross-functional teams including AI, data science, and investment banking divisions. * Develop ...

Take2 AI

Senior Software Engineer, Applied AI

New York, NY · On-site

$180K - $225K/yr

About The Role Take2 AI is hiring a Senior Software Engineer, Applied AI with deep experience applying agentic AI solutions with multi-agent / RAG in production to design, build, and scale the AI ...

Saransh Inc

AI Architect - Remote

New York, NY · On-site

Title : AI Architect Location: NYC, NY AI Architect to lead the design and implementation of ... Expert knowledge of RAG architectures, advanced RAG patterns, and vector database optimization.

Inizio Partners

Agentic AI Architect

New York, NY · Hybrid

$77.50 - $99.75/hr

Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation AI & GenAI Enablement * Define where and how to use ...

Accord Technologies Inc.

Senior AI Engineer

Philadelphia, PA · On-site

$123K - $163K/yr

Senior AI Engineer (Insurance domain and Data Background) Philadelphia, PA (Hybrid Day 1 onsite ... Build and optimize RAG pipelines with agentic orchestration. * Work with vector databases for ...

Lawrence Harvey

Ai Engineer

New York, NY · On-site

$157K - $200K/yr

They are looking for an Applied AI Engineer who will build and expand production LLM and RAG applications across internal and external platforms. You will work across document ingestion, chunking ...

2T Consulting

Python Agentic AI Engineer

New York, NY · On-site

The role combines Python, agentic AI, LLMs, RAG, AWS, APIs, microservices, and event-driven architectures to deliver production-ready AI applications. Roles and Responsibilities * Design and develop ...

Ninth Wave

AI Java Developer

New York, NY

$55.75 - $72.25/hr

Wire OpenSearch indexing, tenant-scoped routing and vector search for RAG retrieval. * Implement CI/CD via the existing GitHub-based pipelines; keep build and deploy times honest. * Optimize ...

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Ai Rag information

See Hamilton, NJ salary details

$31.8K

$57.8K

$82.9K

How much do ai rag jobs pay per year?

As of Sep 14, 2026, the average yearly pay for ai rag in Hamilton, NJ is $57,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,600.00 and $64,500.00 per year, depending on experience, location, and employer.

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 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 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 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 cities near Hamilton, NJ are hiring for Ai Rag jobs?

Cities near Hamilton, NJ with the most Ai Rag job openings:

Ai Rag jobs near you

Generative AI/ML Engineer

New York, NY • On-site

Tekshapers Inc
Software Development • 201 - 500 employees
Learn more about Tekshapers Incexternal

Contractor

Re-posted 15 days ago

Job description

Role: Generative AI/ML Engineer

Duration 6 Months

Location: NYC, NY

Position Overview:

The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for our investment banking processes. 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:

  • Design, develop, and implement Generative AI solutions tailored to investment banking needs.
  • Utilize Microsoft Azure OpenAI services to build and optimize AI models.
  • Apply RAG techniques to improve information retrieval and decision-making processes.
  • Collaborate with cross-functional teams including AI, data science, and investment banking divisions.
  • Develop prototypes and proof-of-concept models for internal stakeholders.
  • Ensure compliance with data security, privacy policies, and industry regulations.
  • Stay updated with the latest trends and advancements in AI, especially related to RAG and Azure OpenAI.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
  • Proven experience in investment banking or financial services.
  • Extensive hands-on experience with Microsoft Azure OpenAI services.
  • 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.
  • Excellent problem-solving skills and ability to work in a fast-paced environment.
  • Strong communication skills and ability to convey technical concepts to non-technical stakeholders.

Preferred Qualifications:

  • Certifications in Azure or AI-related fields.
  • Experience with large language models (LLMs) and their application in finance.
  • Prior experience in developing secure and scalable AI solutions. 

Tekshapers is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.