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Llm Ml Rag Jobs in Spring Valley, NY (NOW HIRING)

Agentic AI, GenAI, LLM, ML, Angular, RAG, AWS * Bachelor's degree in computer science, Information Technology, or a related field * 8-10 years of experience across AI, data science, machine learning ...

Forward Deployed AI Engineer

New York, NY · On-site

$153K - $200K/yr

Expertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics. * Eagerness to build a business in a fast-paced environment. * Ability to travel 10-20% of the time. About StackAI ...

Design, develop, and maintain production-grade AI and ML solutions across cloud and hybrid ... Experience integrating LLM applications with enterprise data sources and retrieval systems (RAG)

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures ... Knowledge of vector databases and RAG architectures. * Experience with cloud platforms such as AWS ...

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Llm Ml Rag information

See Spring Valley, NY salary details

$45.6K

$76.3K

$111.5K

How much do llm ml rag jobs pay per year?

As of Aug 28, 2026, the average yearly pay for llm ml rag in Spring Valley, NY is $76,303.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $88,200.00 per year, depending on experience, location, and employer.

What is an llm ml rag job?

LLM ML RAG jobs involve working with Large Language Models (LLMs), Machine Learning (ML), and Retrieval-Augmented Generation (RAG) systems. Professionals in these roles typically design, develop, and optimize AI systems that combine language models with retrieval techniques to improve accuracy, relevance, and factual grounding in generated outputs. These jobs often require expertise in natural language processing, deep learning, data engineering, and information retrieval. Key responsibilities might include integrating RAG pipelines, fine-tuning LLMs, and ensuring high-quality responses from AI applications.

What are some typical challenges faced when working on retrieval-augmented generation (RAG) systems in large language model (LLM) machine learning roles?

Professionals working on LLM ML RAG systems often encounter challenges such as ensuring the accuracy and relevancy of retrieved documents, managing latency for real-time queries, and seamlessly integrating retrieval mechanisms with generation models. Additionally, keeping up with evolving datasets and maintaining high-quality knowledge bases can be demanding. Collaboration with data engineers and domain experts is common to refine retrieval pipelines and optimize the end-to-end system.

What are the key skills and qualifications needed to thrive as an llm ml rag engineer, and why are they important?

To excel as an LLM ML RAG Engineer, you need a strong background in machine learning, natural language processing, and large language models, typically supported by a degree in computer science or a related field. Proficiency with tools and frameworks like Python, PyTorch/TensorFlow, Hugging Face Transformers, and vector databases (e.g., FAISS, Pinecone) is essential, along with experience in deploying and fine-tuning LLMs and integrating retrieval systems. Strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams distinguish top performers in this role. These skills ensure the effective development and deployment of advanced AI solutions that combine generative and retrieval capabilities for high-impact applications.

What is the difference between Llm Ml Rag vs Data Scientist?

AspectLlm Ml RagData Scientist
Required CredentialsMaster's or PhD in ML, AI, or related fields; certifications in ML frameworksDegree in Computer Science, Statistics, or related; certifications in data analysis or ML
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Employer & Industry UsageTech firms, AI startups, research institutionsFinance, healthcare, tech, consulting firms
Common Search & ComparisonOften compared for ML specialization and research focusCompared for data analysis, modeling, and business insights

While both roles involve working with machine learning, Llm Ml Rag typically focuses on research and development of large language models, requiring advanced ML expertise. Data Scientists often work on analyzing data, building predictive models, and deriving insights for business decisions. The roles overlap in skills but differ in focus and application areas.

What are popular job titles related to Llm Ml Rag jobs in Spring Valley, NY?

For Llm Ml Rag jobs in Spring Valley, NY, the most frequently searched job titles are:

What cities near Spring Valley, NY are hiring for Llm Ml Rag jobs?

Cities near Spring Valley, NY with the most Llm Ml Rag job openings:

Infographic showing various Llm Ml Rag job openings in Spring Valley, NY as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $76,303 per year, or $36.7 per hour.

Prompt Engineer / AI Specialist - LLM & AI Platforms

Manhattan, NY • On-site

Lorven Technologies
IT Services • 51 - 200 employees

Full-time

Posted 16 days ago


Job description

Hi
Our client is looking for a Prompt Engineer / AI Specialistproject in NYC below is the detailed requirement.
Job Title: Prompt Engineer / AI Specialist - LLM & AI Platforms
Location: NYC (F2F Interview)
Required Skills: OpenAI, LLM, ML, Angular, HTML, CSS, and TypeScript
Job description:
  • Bachelor's degree in computer science, Information Technology, or a related field
  • 8-10 years of experience across AI, data science, machine learning, or full stack engineering roles.
  • Strong hands on experience with LLMs and prompt engineering.
  • Experience integrating OpenAI and other AI/LLM platforms via APIs.
  • Strong proficiency in Python for AI workflows, services, and data processing.
  • Solid understanding of data science and ML fundamentals (model evaluation, feature engineering, experimentation).
  • Full stack exposure with Angular, HTML, CSS, and TypeScript.
  • Core Banking or Financial/Wealth management domain working experience required
  • Experience with Service Assist AI, conversational AI, or agent assist platforms.
  • Exposure to embeddings, vector databases, or RAG architectures.
  • Familiarity with AI governance, responsible AI frameworks, and risk controls.
  • Cloud or AI platform certifications.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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