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Llm Agent Jobs (NOW HIRING)

LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks * Efficient LLM ...

Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex). * Experience with API integration , JSON schemas, and backend services. * Familiarity with Docker , basic DevOps, and ...

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks * Efficient LLM ...

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks * Efficient LLM ...

Operationalize LLM / agent solution patterns with enterprise controls: evaluation, PII boundaries, human oversight, cost/latency budgets, red-team expectations. Qualifications Required qualifications ...

Operationalize LLM / agent solution patterns with enterprise controls: evaluation, PII boundaries, human oversight, cost/latency budgets, red-team expectations. Qualifications Required qualifications ...

Solutions Architect

Columbia, MD · On-site +1

$150K - $170K/yr

Operationalize LLM / agent solution patterns with enterprise controls: evaluation, PII boundaries, human oversight, cost/latency budgets, red-team expectations. Qualifications Required qualifications ...

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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.
More about Llm Agent jobs
What cities are hiring for Llm Agent jobs? Cities with the most Llm Agent job openings:
What states have the most Llm Agent jobs? States with the most job openings for Llm Agent jobs include:
Software Engineer, Agent Platform

Software Engineer, Agent Platform

Anduril Industries

Washington, DC • Remote

Other

Posted 3 days ago


Anduril rating

9.4

Company rating: 9.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz


Job description

ABOUT THE TEAM

Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. Anduril's Frontier AI team builds edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. 

ABOUT THE JOB

Frontier AI is looking for a backend software engineer to own and evolve our internal LLM agent framework. This role sits at the intersection of backend infrastructure, applied AI, agent architecture, model post-training, and evaluation tooling. You will build the platform that enables teams across Anduril to develop, evaluate, and deploy reliable LLM agents in mission-critical environments.


WHAT YOU'LL DO

  • Own Anduril's internal LLM agent framework, including core abstractions, runtime architecture, developer experience, integrations, and reliability.
  • Support multiple business lines building LLM agents by providing new framework capabilities, implementation guidance, architectural reviews, and best-practice patterns.
  • Partner with machine learning teams to make model post-training workflows easy to integrate, ranging from supervised fine-tuning to offline RL, online RL, and environment-driven agent improvement.
  • Design tooling that supports modern agent patterns, including structured tool calling, filesystem-using agents, memory and retrieval, planning loops, subagents, agent graphs, and human-in-the-loop workflows.
  • Work with partner teams to define comprehensive evaluation suites that measure task success, tool-call correctness, trajectory quality, robustness, regressions, and deployment readiness.
  • Stay current on emerging agent architecture and evaluation trends, and make pragmatic decisions about which techniques should or should not be adopted internally.
REQUIRED QUALIFICATIONS
  • Strong backend engineering experience building production-quality platforms, frameworks, APIs, or infrastructure used by other engineers.
  • Deep expertise in LLM agent framework design, including the tradeoffs between different orchestration patterns such as linear agents, graph-based agents, multi-agent systems, planner/executor loops, and tool-heavy agents.
  • Experience designing agent evaluation paradigms, including trajectory evaluations, LLM-as-judge workflows, task-success metrics, tool-call correctness checks, rubric-based qualitative grading, adversarial scenario testing, regression eval suites, and human-in-the-loop review.
  • Familiarity with model post-training workflows such as SFT, preference tuning, reinforcement learning, and environment-based agent training.
  • Strong judgment around reliability, observability, debugging, and safety for LLM applications deployed in high-stakes settings.
  • Ability to work directly with partner teams, understand ambiguous product needs, and turn them into reusable platform capabilities.
PREFERRED QUALIFICATIONS
  • Experience with agent frameworks like Langchain Deepagents, Claude SDK, etc.
  • Experience building evaluation platforms, simulation environments, benchmark suites, or agent test harnesses.
  • Experience with Kubernetes, Docker, distributed systems, workflow orchestration, or ML infrastructure.
  • Familiarity with defense, robotics, command-and-control systems, autonomy, or operational planning domains.

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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