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Llm Ai Jobs (NOW HIRING)

Deep LLM & AI Knowledge: Strong understanding of how LLMs, multi-agent architectures, and RAG pipelines can be leveraged to automate security analyst workflows. * Cybersecurity Expertise: Deep domain ...

Lead AI Engineer

Newark, DE · On-site

$100K - $132K/yr

... Lead AI Engineer Newark, DE - Onsite Responsibilities Owns end-to-end delivery of how the ... Own delivery of LLM API integration and SDK patterns used across applications. * Set organizational ...

Essential Functions Attacking AI/LLM Systems * Break AI and agentic systems and translate that research into automated, repeatable attack modules for NodeZero. * Design and execute prompt injection ...

LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent ...

LLM & AI Engineering * Implement Retrieval-Augmented Generation (RAG) systems using lending guidelines, overlays, investor matrices, and SOPs. * Build prompt orchestration, memory systems, and agent ...

Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. They are seeking a hands-on ML/LLM Engineer to build and optimize AI-native systems that blend structured and ...

Java AI/LLM

Glen Lyn, VA · Remote

$52.25 - $67.50/hr

AI/LLM skill with * AI/LLM - hugging face model, OLAMA, LLAMA, Mistral * Agentic AI, Open AI, Gemini * Fine tuning of LLM * Lang chain, Lang flow, FAISS, vector database, Cosine similarity search.

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Llm Ai information

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$63.3K

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How much do llm ai jobs pay per year?

As of Aug 10, 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 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.

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.

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 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

LLM Optimization & Agentic Commerce Manager

Sargento Foods

Plymouth, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Sargento rating

9.2

Company rating: 9.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

4th of 436 rated food and drinks producers


Job description

The LLM Optimization & Agentic Commerce Manager is responsible for ensuring Sargento's brand, products, and claims are accurately represented, discoverable, and competitively positioned across large language models (LLMs), AI assistants, and agent-based commerce platforms. This role works across brand, media, eCommerce, analytics, and technology in areas where standards and best practices are still emerging. Beyond protecting brand integrity and improving AI visibility, this role is expected to drive business impact by shaping brand positioning, influencing how Sargento appears across the media ecosystem, and capturing consumer sentiment and coverage across AI surfaces, social environments, and agentic commerce experiences.

Your Story.

The LLM Optimization & Agentic Commerce Manager is responsible for ensuring Sargento’s brand, products, and claims are accurately represented, discoverable, and competitively positioned across large language models (LLMs), AI assistants, and agent-based commerce platforms. This role works across brand, media, eCommerce, analytics, and technology in areas where standards and best practices are still emerging. Beyond protecting brand integrity and improving AI visibility, this role is expected to drive business impact by shaping brand positioning, influencing how Sargento appears across the media ecosystem, and capturing consumer sentiment and coverage across AI surfaces, social environments, and agentic commerce experiences.

Your Passion. Our Culture.

At Sargento, you work for a company you believe in, with a family of people who believe in you.  Our culture stems from a simple premise: Hire good people and treat them like family.  At Sargento, you can make decisions based on how they affect people as well as the long-term health of our company.  You will be encouraged to make a meaningful difference in the community, in the company and in your career.  With diverse experiences and tools to learn and develop, you can transform your aspirations into reality.  If you’re ready for the right place to belong and grow your career, you can find it here.

Benefits that set us apart.

  • Comprehensive medical including Fertility, Adoption benefits, Dental, and Vision Insurance
  • Remote ½ day Fridays
  • Onsite Health & Wellness Center
  • Employer 401K contribution in the top 1% of the nation
  • Relocation Assistance
  • Tuition Assistance
  • Access to Employee Store

What You Do.  

  • LLM & AI Visibility Strategy
    • Own & evolve the Sargento’s brand strategy for LLM discoverability, accuracy, and brand representation rapidly changing AI ecosystem.
    • Monitor how Sargento products, claims, nutrition, and brand stories appear across major LLMs and AI assistants.
    • Identify gaps, risks, and opportunities related to misinformation, hallucinations, or loss of share of voice in AI-driven discovery.
    • Adapt strategy as platforms, models, and behaviors evolve.
  • AI Agent & Media Enablement
    • Partner with Media, Omni-Channel, and Analytics teams to evaluate how AI agents can support or optimize media planning, activation, and performance analysis, as LLMs increasingly function as media and commerce environments.
    • Translate emerging AI agent capabilities into practical, test-and-learn use cases (planning efficiency, optimization signals, reporting acceleration).
    • Stay ahead of platform changes that affect how media, commerce, and content are surfaced in AI environments, proactively adjusting approaches as rules, capabilities, and signals shift.
  • Data, Content & Signal Management
    • Partner with Brand, Omni, Legal, IT, and Analytics to ensure structured, authoritative, and up-to-date data signals (product info, FAQs, claims, imagery, content) are AI-ready.
    • Help define evolving best practices for content creation and governance that improve AI interpretation and reuse.
    • Collaborate on schema, feeds, APIs, and other inputs that influence AI outputs.
  • Governance, Risk & Brand Protection
    • Establish guardrails and governance for AI usage related to brand, media, and commerce.
    • Proactively identify reputational, legal, or consumer trust risks associated with AI-generated outputs.
    • Partner closely with Legal and PR on escalation paths and response protocols when inaccuracies surface.
  • Measurement & Learning
    • Define success metrics for LLM visibility and accuracy (share of voice, sentiment, citation quality, accuracy benchmarks).
    • Build ongoing reporting and learning loops to inform brand, media, and eCommerce strategy.
    • Share insights with leadership to guide investment, prioritization, and capability development.
    • Serve as the primary owner of Sargento’s AI/LLM visibility platform responsible for day-to-day usage, monitoring brand presence and accuracy, interpreting insights, managing vendor partnership, and translating results into clear actions for Brand, Media, Omni-Channel, PR, and Analytics teams.
    • Partner with Brand Strategy & Analytics to evolve brand equity tracking to include AI-driven discovery and recommendation environments.
    • Translate LLM visibility signals into leading indicators of brand equity shifts (early signals vs. lagging survey data).
  • External Partnerships & Thought Leadership
    • Lead evaluations and partnerships with AI/LLM visibility platforms, measurement vendors, and tech partners.
    • Represent Sargento as a knowledgeable, credible voice in evolving AI-driven marketing and commerce conversations
    • Stay current on platform, and industry shifts related to AI and marketing.

Your Education and Experience.

  • Bachelor’s degree required  
  • 5+ years of experience in marketing, media, analytics, digital strategy, or marketing technology
  • Strong understanding of search, media ecosystems, and data signals, with curiosity and fluency in AI/LLMs
  • Ability to translate complex technical concepts into clear business implications
  • Proven cross-functional leadership experience (Brand, Media, Analytics, IT, Legal, PR)
  • Comfort operating in ambiguity and building new processes from scratch
  • Preferred experience with AI platforms, LLM tools, marketing automation, or advanced analytics
  • Preferred familiarity with retail media, eCommerce content, and digital shelf dynamics
  • Preferred background in governance, risk management, or platform standards is a plus
  • CPG or regulated-category experience preferred

Our Story.

With over 2,400+ employees and net sales of nearly $1.8 billion, Sargento is a family-owned company that has been a leader in cheese for more than 70 years.  We created the world’s first, successful pre-packaged sliced and shredded natural cheeses.  Sargento is based in Plymouth, Wisconsin, where we manufacture and market shredded, sliced and snack natural cheese products, as well as ingredients and sauces.  Sargento is known for the exceptional quality of our products and for product design, packaging and merchandising innovations that have transformed our industry.

To learn more about our culture and values, please visit our website at https://careers.sargento.com/us/en.

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Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.Employment Type: FULL_TIME

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About Sargento

Sourced by ZipRecruiter

Industry

Food and drink manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Plymouth, WI, US

Year founded

1953