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Llm Ai Jobs (NOW HIRING)

AI Data Analyst (LLM) - US Army Support ID: 92616 Location: Picatinny Arsenal, NJ More about this job > Description WisEngineering, LLC is currently interviewing candidates for an immediate or near ...

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-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 ...

Lead AI Engineer

Charlotte, NC · On-site

$55 - $60/hr

Lead development of Generative AI, LLM & AI-powered applications * Build RAG pipelines, AI agents, copilots & intelligent automation * Develop AI solutions using Python, APIs & cloud platforms * Work ...

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 ...

AI Engineer Senior Level

Manhattan, NY · On-site

$150 - $200/hr

Key Responsibilities- Design and develop LLM-powered AI agents for enterprise workflow automation.- Build integrations between AI agents and internal enterprise systems using:- REST APIs- SQL ...

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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 Sep 7, 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, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Consultant (LLM/AI Skillset)

evolv Consulting

Dallas, TX • On-site

Full-time

Re-posted 23 days ago


Job description

Do you want to support innovative clients at the intersection of cutting-edge technologies and impactful relationships?

evolv's culture of integrity, humility, passion, and drive and have been named "Best Places to Work" by Dallas Business Journal in 2021 and 2022, "Top Workplaces" by Dallas Morning News in 2023, ranked #368 on Inc. 5000's list of fastest growing private companies in 2023 and ranked #14 on the 2024 Inc. Regionals: Southwest list of fastest growing private companies in America.

We are seeking a talented and professional Consultant (LLM/AI Skillset) to join our team.

Responsibilities:

  • Act as a leader and team player within a Scrum Team as the Product Owner
  • Collaborate closely with multi-functional teams including product managers, software engineers, and data scientists to ensure the magnificent integration of machine learning capabilities into our solutions.
  • Architect, develop, and deploy state-of-the-art models to power our conversational AI product suite.
  • Design, develop, and optimizeRAG(Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation in conversational AI systems.
  • Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.
  • Fine-tune and optimize large language models such as Cohere for specific use cases in the technology, Construction & utilities domain.
  • Implement and experiment with cutting-edgeNLP,NLU, andNLGtechniques to enhance the capabilities and performance of our conversational AI products.
  • Collaborate with software engineers to integrate machine learning models into production systems, ensuring scalability, reliability, and performance.
  • Conduct research and stay abreast of the latest advancements in machine learning,NLP, and conversational AI to drive innovation and maintain competitive advantage.
  • Remain committed to successful delivery to the client on every engagement (success metrics involve deliverables met, client satisfaction, future project recommendations/extensions and collaboration).
  • Prioritize operational excellence by meeting or exceeding all utilization goals.
  • Contribute to evolv's culture and personal development through collaborating well internally, displaying our core values, participating in internal initiatives (events/groups), and/or obtaining new certifications approved by leader.
  • Help grow evolv by providing team member/client referrals and connecting with our internal network.
  • Other duties as assigned.

Requirements:

  • At least 3 years of experience playing the Product Owner/product Manager role for a software development team, applying scrum principles, practices, and methodology.
  • Bachelor's degree preferred.
  • In-depth knowledge of the Agile framework and principles.
  • Experience in launching a new or enhancing technology.
  • Proven track record of delivering data driven solutions with a customer-first mindset.
  • Experience successfully driving end-to-end delivery of data and intelligence solutions, including a wide variety of mechanisms, e.g., dashboards, APIs, real time alerts, etc.
  • Experience with procurement, expense management, and treasury businesses and processes.

We believe in being inclusive of all people regardless of gender, race, religion, sexual orientation, age, or any attribute not relevant to job performance. We know that an inclusive, equitable and diverse company is a more innovative and successful one. We aim to employ the most talented professionals in the world by casting a wide net to find Team Members with shared values. evolv is committed to creating and maintaining a high-performing workplace in which all Team Members have a fair and just opportunity to contribute to the success of the business and are valued for their skills, experience, and authentic perspectives.

EOE/M/F/D/V

Employment Type: Full-Time