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Llm Ai Jobs (NOW HIRING)

LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.

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LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.

LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.

Let Mindlance advocate for you - apply today! UX / LLM / AI / FIGMA Description: * The Mid-Senior UX Strategist/Designer will lead user-centered research, strategy, and design for complex digital and ...

LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.

AI Engineer- LLM & AI Platforms Location : NYC Required Skills : Agentic AI, GenAI, LLM, ML, Angular, RAG, AWS * Bachelor's degree in computer science, Information Technology, or a related field * 8 ...

LLM/AI: Hugging Face, LangChain, Open AI API. * RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.

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Llm Ai information

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$41K

$63.3K

$95.5K

How much do llm ai jobs pay per year?

As of Aug 21, 2026, the average yearly pay for llm ai in the United States is $63,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $69,500.00 per year, depending on experience, location, and employer.

What is an LLM AI?

An LLM AI job involves working with large language models (LLMs) to develop, train, optimize, and integrate AI-powered applications. Responsibilities may include natural language processing (NLP), prompt engineering, fine-tuning models, and ensuring ethical AI usage. These roles are common in AI research, software development, and data science fields.

What does an LLM AI do?

A typical day for someone in an LLM AI position involves designing, training, and evaluating large language models, collaborating with data scientists and software engineers, and reviewing system outputs for quality and accuracy. Professionals often attend team meetings to discuss project milestones, research new advancements, and troubleshoot model performance issues. The role tends to be highly collaborative, requiring frequent knowledge-sharing and coordination with other AI specialists, product managers, and, in some cases, external stakeholders. Staying up-to-date with the latest advancements in natural language processing and AI is an essential part of the job, ensuring that models remain state-of-the-art and impactful.

What are the key skills and qualifications needed to thrive in the LLM AI position?

To excel in an LLM AI (Large Language Model AI) role, candidates generally need a strong background in computer science, machine learning, and natural language processing, often supported by advanced degrees and experience with AI research or engineering. Familiarity with tools like Python, TensorFlow, PyTorch, and cloud computing platforms, as well as certifications in AI or data science, is highly valued. Excellent problem-solving, collaboration, and communication skills set standout professionals apart, enabling them to work effectively on cross-disciplinary teams. These skills and qualifications are crucial for developing, fine-tuning, and deploying cutting-edge language models that drive real-world AI applications.

What jobs can I do with Llm Ai?

Jobs involving LLM AI include roles such as AI researcher, machine learning engineer, data scientist, NLP specialist, and AI product developer. These positions typically require skills in programming, data analysis, and understanding of AI models, and may involve tasks like developing AI applications, fine-tuning models, or implementing AI solutions in various industries.

Which Llm Ai is most in demand?

The most in-demand LLM AI roles typically involve expertise in natural language processing, machine learning, and deep learning frameworks such as TensorFlow or PyTorch. Skills in model fine-tuning, data management, and familiarity with popular models like GPT, BERT, or RoBERTa are highly sought after by employers across industries including tech, healthcare, and finance.

What cities are hiring for Llm Ai jobs?

Cities with the most Llm Ai job openings:

What are the most commonly searched types of Llm Ai jobs?

The most popular types of Llm Ai jobs are:

What states have the most Llm Ai jobs?

States with the most job openings for Llm Ai jobs include:

Infographic showing various Llm Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Prompt Engineer / AI Specialist - LLM & AI Platforms

Lorven Technologies, Inc.

Manhattan, NY • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

Hi

Our client is looking for a Prompt Engineer / AI Specialist project 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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