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Llm Ai Jobs (NOW HIRING)

Tekaccel, Inc

AI Engineer

Grand Prairie, TX · On-site

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.

Nagarro Inc

AI Engineer

Grand Prairie, TX · On-site

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.

Lorven Technologies

AI Engineer

Manhattan, NY · On-site

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 ...

New

Mindlance

UX Strategist/Designer

Jupiter, FL · On-site

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 ...

Nagarro

Staff Engineer - AI Engineer

Grand Prairie, TX · Hybrid

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.

Nagarro

Staff Engineer - AI Engineer

Grand Prairie, TX · On-site

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.

CrowdStrike

  • Medical

  • Retirement

  • PTO

... AI-driven security products. This role requires significant hands-on experience in LLM integration, agentic workflows, and agent harnessing to deliver high-impact, scalable solutions. You will ...

De Circle

Rengo AI - AI Engineer

New York, NY · On-site +1

$125K - $150K/yr

Rengo AI is building the intelligence layer for fund management - starting with next-generation ... Design LLM pipelines that: * avoid hallucinated financial reasoning * produce structured ...

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Llm Ai information

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How much do llm ai jobs pay per year?

As of Aug 17, 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 you do with an Llm Ai?

An LLM AI can be used in roles such as AI research scientist, machine learning engineer, data scientist, natural language processing specialist, or AI product developer. These jobs typically require skills in programming, data analysis, and understanding of AI models, often involving tools like Python and TensorFlow. Such positions are found in technology companies, research institutions, and startups focused on AI development.

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.
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Llm Ai jobs near you
Infographic showing various Llm Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Product Engineer, LLM, AI

Software Guidance & Assistance

San Francisco, CA • On-site

Other

Posted 20 days ago

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Product Engineer, LLM, AI for a full time employee position with one of our premier Start up clients in San Francisco , CA .
Responsibilities :
  • As a Product Engineer you'll build the AI agents that are the product, the voice interviewers that talk to thousands of candidates, and the systems that turn those conversations into decisions. You'll work across the stack with real ownership and autonomy, and see your work hit real users the same week you ship it.
    What you'll be doing:
  • Design and ship voice AI agents: real-time phone interviews with sub-300ms latency (LLM orchestration, WebSockets, FastAPI)
  • Build the prompt and agent architecture: reusable, multi-vertical interviewer systems, each client customizes their own screening logic, voice personality, compliance rules
  • Turn messy voice conversations into structured, reliable candidate scores
  • Run evals and reliability work: audit agents across a live fleet, catch regressions, keep behavior consistent at scale
  • Build the agentic infrastructure that lets every client spin up and tune their own screening workflows
Required Skills:
  • Microsoft Azure,
  • Python,
  • Next.js,
  • LLMs,
  • AI Agents

Preferred Skills:
  • voice/speech systems,
  • real-time streaming,
  • eval frameworks,

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy.
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