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Llm Agent Jobs (NOW HIRING)

twenty80.io

AI Interfaces Engineer

San Mateo, CA · On-site +1

$150K - $200K/yr

Build and maintain production LLM/agent applications integrated with real platform data and workflows * Develop MCP-based (or equivalent) agent tool servers that safely expose platform data ...

PepsiCo

AI Engineer

Purchase, NY · On-site

Python (and Java) mastery with distributed systems expertise; performance optimization (profiling, parallelization); architecture patterns (e.g., FastAPI, asyncio, Pydantic) • LLM & Agent Systems:

3Y

AI Product Designer

San Francisco, CA · On-site

$135K - $175K/yr

Fluency in LLM/agent concepts (prompt patterns, tool use/function calling, RAG trade-offs, evals) and how they inform UX and product design. * Skilled in product analytics, experimentation, and AI ...

Laiba Technologies LLC

AI Engineer

Conroe, TX · On-site

... operating LLM/agent workflows in production, including monitoring and evaluation. • Experience with Azure AI Foundry or comparable platforms for agent development, deployment, evaluation, and ...

PepsiCo

AI Engineer

Plano, TX · On-site

Python (and Java) mastery with distributed systems expertise; performance optimization (profiling, parallelization); architecture patterns (e.g., FastAPI, asyncio, Pydantic) • LLM & Agent Systems:

PepsiCo

AI Engineer

Chicago, IL · On-site

Python (and Java) mastery with distributed systems expertise; performance optimization (profiling, parallelization); architecture patterns (e.g., FastAPI, asyncio, Pydantic) • LLM & Agent Systems:

PepsiCo

Senior AI Engineer

Plano, TX · On-site

Python (and Java) mastery with distributed systems expertise; performance optimization (profiling, parallelization); architecture patterns (e.g., FastAPI, asyncio, Pydantic) • LLM & Agent Systems:

PepsiCo

Senior AI Engineer

Chicago, IL · On-site

Python (and Java) mastery with distributed systems expertise; performance optimization (profiling, parallelization); architecture patterns (e.g., FastAPI, asyncio, Pydantic) • LLM & Agent Systems:

PepsiCo

Senior AI Engineer

Purchase, NY · On-site

Python (and Java) mastery with distributed systems expertise; performance optimization (profiling, parallelization); architecture patterns (e.g., FastAPI, asyncio, Pydantic) • LLM & Agent Systems:

The Pennsylvania State University

LLMs, multi-agent systems, privacy/ security * Analytical and writing skills * Experience with LLM agent frameworks or security auditing tools is a plus Apply: Please apply to the position to be ...

Centraprise

AI- FSD Developer

Minneapolis, MN · On-site

... LLM/agent runtimes, or data platforms via APIs. • Strong problem-solving skills and ability to deliver iteratively in an agile environment. • Experience building internal tools or copilots with ...

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Llm Agent information

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How much do llm agent jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for llm agent in the United States is $16.10, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.31 per hour, depending on experience, location, and employer.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or chief AI officers, often requiring advanced skills in deep learning, data science, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses that contribute to total compensation reaching or exceeding this amount.

What is the difference between Llm Agent vs Data Scientist?

AspectLlm AgentData Scientist
Required CredentialsTypically a background in AI, machine learning, or related fields; often requires knowledge of NLP and AI frameworksUsually a degree in data science, statistics, or computer science; certifications in data analysis or machine learning are common
Work EnvironmentPrimarily in AI development teams, tech companies, or research labs; focuses on designing and deploying AI agentsIn diverse settings including tech firms, finance, healthcare; analyzes data to inform business decisions
Employer & Industry UsageUsed by AI-focused companies, startups, and research institutionsEmployed across industries like finance, healthcare, marketing, and tech

While both roles involve working with data and advanced technologies, Llm Agents specialize in developing AI agents that utilize large language models, whereas Data Scientists focus on analyzing data to extract insights. The roles often overlap in skills but differ in their primary focus and application.

What job makes 10000 a month without a degree?

An Llm Agent is a role that involves working with large language models, often requiring skills in AI, programming, and data analysis. While some positions in AI and tech can pay $10,000 or more monthly, they typically require specialized skills, experience, or certifications rather than formal degrees alone.

What jobs pay $2000 a day?

High-paying jobs that can reach $2000 a day often include specialized roles such as senior consultants, surgeons, or experienced freelance professionals in fields like software development or finance. These positions typically require advanced skills, certifications, or extensive experience, and may involve consulting, contract work, or high-stakes environments.

What can Llm agents do?

LLM agents are automated systems that utilize large language models to perform tasks such as data analysis, content generation, customer support, and decision-making. They can interpret natural language inputs, execute complex instructions, and integrate with various software tools to streamline workflows. Skills in programming, AI, and machine learning are often required to develop and manage these agents.
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What states have the most Llm Agent jobs? States with the most job openings for Llm Agent jobs include:
What job categories do people searching Llm Agent jobs look for? The top searched job categories for Llm Agent jobs are:
Llm Agent jobs near you

Member of Technical Staff

David Joseph & Company

San Francisco, CA

$170K - $350K/yr

Full-time

Posted 21 days ago

Job description

San Francisco, CA · On-site · Full-time
Compensation: $170,000–$350,000 + equity

About the Company

An early-stage (Seed, founded 2025) enterprise AI company building agents for Fortune 500 knowledge work. Its agents continuously learn an organization's proprietary procedures, data, and objectives and operate within a native office-suite work surface to perform complex, long-horizon tasks alongside humans, deployed in secure enterprise environments. The company has real revenue across multiple Fortune 500 customers on multi-year deals and is backed by leading venture investors.

Founded 2025 · 11–50 people · Industry: AI Tools

The Role

As a Member of Technical Staff, you own features end-to-end on the platform, working wherever leverage is highest across infrastructure, core features, agent configuration, and user experience. You may also work with enterprise customers in a forward-deployed capacity. Your code ships to real customers fast, and your product and technical decisions shape the company.

What you'll be doing

  • Ship features end-to-end across the full-stack TypeScript/React application, from design through implementation to production
  • Make high-judgment calls about what to build next based on customer needs, technical debt, and product opportunity
  • Work directly with Fortune 100 customers to understand their workflows and translate that into product (forward-deployed track)
  • Build the underlying infrastructure (AWS, Terraform, Kubernetes, security) that scales the product to enterprise deployment (platform track)
  • Contribute across the stack wherever you see the most leverage
  • Shape engineering culture and practices at an early-stage company

Tech stack: Full-stack TypeScript/React (FDE track); AWS, Terraform, Kubernetes, security (Platform track); LLM/agent systems

Requirements
  • Has shipped LLM/agent systems past RAG
  • Full-stack TS/React (FDE) or AWS/Terraform/K8s (Platform)
  • Track record of shipping product
  • High agency, comfort with ambiguity
  • Top AI lab or top-tier startup pedigree
  • SF in-person 5 days
Green Flags
  • Built agent systems past RAG out of personal interest.
  • Top AI lab pedigree (model lab talent bar) OR last 2 YC batch founder with shipped agentic product OR ex-Palantir/Ramp/Stripe/Databricks engineer with LLM systems work
  • Quant/HFT background.
  • Customer-facing engineering background (Palantir FDE archetype, ex-solutions engineer who transitioned from pure SWE) for the FDE persona
  • Real platform engineering depth for the Platform persona: 5+ years infra, AWS/Terraform/Kubernetes, security-oriented, has scaled large systems
Red Flags
  • Pure RAG-only candidate without agent system depth
  • MSL project manager (vs. engineer) profile.
  • Default Amazon profile without exceptional signal.
  • Master's-only candidate without strong bachelor's pedigree from Ivy+/Berkeley/Stanford/Georgia Tech/UT
  • New grad with only one notable internship and no demonstrated shipping track record
Why Join
  • Features you ship reach large enterprise customers within days — fast, high-stakes feedback on every product bet
  • Broad ownership across the full stack at an early-stage company where your decisions shape direction
  • Real enterprise traction and strong financial backing
Details
  • Location: San Francisco, CA
  • Work policy: On-site, 5 days/week
  • Compensation: $170,000–$350,000 + equity
  • Visa sponsorship: O-1 preferred · OPT supported · H-1B for exceptional candidates (transfer case-by-case)
  • Employment type: Full-time