Practical experience developing and deploying LLM-based or agent-driven systems. Demonstrated ability to design for reliability, observability, and cost efficiency. High standards for code quality ...
Practical experience developing and deploying LLM-based or agent-driven systems. Demonstrated ability to design for reliability, observability, and cost efficiency. High standards for code quality ...
LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks * Efficient LLM ...
LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks * Efficient LLM ...
Practical experience developing and deploying LLM\-based or agent\-driven systems. \n * Demonstrated ability to design for reliability, observability, and cost efficiency. \n * High standards for ...
Practical experience developing and deploying LLM\-based or agent\-driven systems. \n * Demonstrated ability to design for reliability, observability, and cost efficiency. \n * High standards for ...
Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool ... Comfort integrating with ML services, LLM/agent runtimes, or data platforms via APIs. * Strong ...
Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool ... Comfort integrating with ML services, LLM/agent runtimes, or data platforms via APIs. * Strong ...
Python engineer
Atlanta, GA · Remote
Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex). * Experience with API integration , JSON schemas, and backend services. * Familiarity with Docker , basic DevOps, and ...
Quick apply
Python engineer
Atlanta, GA · Remote
Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex). * Experience with API integration , JSON schemas, and backend services. * Familiarity with Docker , basic DevOps, and ...
Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex). * Experience with API integration , JSON schemas, and backend services. * Familiarity with Docker , basic DevOps, and ...
Quick apply
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 · 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
$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 ...
Quick apply
Intern, AI Engineering
$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 ...
Senior AI Solutions Engineer
Oconomowoc, WI · On-site
$55.25 - $71.25/hr
Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute ...
Senior AI Solutions Engineer
Oconomowoc, WI · On-site
$55.25 - $71.25/hr
Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute ...
Senior AI Solutions Engineer
Oconomowoc, WI · On-site
$55.25 - $71.25/hr
Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute ...
Senior AI Solutions Engineer
Oconomowoc, WI · On-site
$55.25 - $71.25/hr
Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute ...
Senior AI Solutions Engineer
$55.25 - $71.25/hr
Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute ...
Senior AI Solutions Engineer
$55.25 - $71.25/hr
Design and build custom LLM agent harnesses and multi-agent architectures, including manager/supervisor agent patterns that orchestrate swarms of specialized sub-agents to decompose and execute ...
Solutions Architect
$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 ...
Solutions Architect
$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 ...
... patterns LLM & Agent Orchestration (Design & deploy agents: Multi-agent architectures and design patterns Design Tool invocation frameworks, memory management framework Define and implement ...
Quick apply
... patterns LLM & Agent Orchestration (Design & deploy agents: Multi-agent architectures and design patterns Design Tool invocation frameworks, memory management framework Define and implement ...
Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
San Francisco, CA · On-site
Required : • 3+ years of building with LLMs in a production environment • Clear experiences with constructing high quality data to use to improve an LLM/Agent • Publications in top conferences ...
Machine Learning Research Engineer, Agent Data Foundation - Enterprise GenAI
San Francisco, CA · On-site
Required : • 3+ years of building with LLMs in a production environment • Clear experiences with constructing high quality data to use to improve an LLM/Agent • Publications in top conferences ...
Operationalize LLM / agent solution patterns with enterprise controls: evaluation, PII boundaries, human oversight, cost/latency budgets, red-team expectations. Qualifications Required qualifications ...
Quick apply
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 ...
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 ...
Required : • 3+ years of building with LLMs in a production environment • Clear experiences with constructing high quality data to use to improve an LLM/Agent • Publications in top conferences ...
Required : • 3+ years of building with LLMs in a production environment • Clear experiences with constructing high quality data to use to improve an LLM/Agent • Publications in top conferences ...
Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent). Builds and maintains the monthly retraining pipeline (Lambda + MLflow). Trains and validates XGBoost on ...
Designs and implements the three-tier classification engine (rules, XGBoost, LLM agent). Builds and maintains the monthly retraining pipeline (Lambda + MLflow). Trains and validates XGBoost on ...
AL/ML Engineer
Dallas, TX · Remote
AI/LLM Agent and MCP (Model Control Protocols) - Google ADK, Copilot Studio * Cloud Experience - Google Cloud or Azure preferred. * Database Knowledge - BigQuery, Firestore, Cloud SQL, etc. * Data ...
AL/ML Engineer
Dallas, TX · Remote
AI/LLM Agent and MCP (Model Control Protocols) - Google ADK, Copilot Studio * Cloud Experience - Google Cloud or Azure preferred. * Database Knowledge - BigQuery, Firestore, Cloud SQL, etc. * Data ...
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 ...
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 ...
Llm Agent information
See salary details
$11.06 - $11.91
0% of jobs
$11.91 - $12.76
0% of jobs
$12.76 - $13.61
0% of jobs
$13.61 - $14.47
21% of jobs
$14.57 is the 25th percentile. Wages below this are outliers.
$14.47 - $15.32
34% of jobs
$15.32 - $16.17
15% of jobs
$17.02 is the 75th percentile. Wages above this are outliers.
$16.17 - $17.02
5% of jobs
$17.02 - $17.88
10% of jobs
$17.88 - $18.73
4% of jobs
$18.73 - $19.58
5% of jobs
$19.58 - $20.43
5% of jobs
$11
$16
$20
How much do llm agent jobs pay per hour?
What is the difference between Llm Agent vs Data Scientist?
| Aspect | Llm Agent | Data Scientist |
|---|---|---|
| Required Credentials | Typically a background in AI, machine learning, or related fields; often requires knowledge of NLP and AI frameworks | Usually a degree in data science, statistics, or computer science; certifications in data analysis or machine learning are common |
| Work Environment | Primarily in AI development teams, tech companies, or research labs; focuses on designing and deploying AI agents | In diverse settings including tech firms, finance, healthcare; analyzes data to inform business decisions |
| Employer & Industry Usage | Used by AI-focused companies, startups, and research institutions | Employed 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.

Full-time
Posted 5 days ago
Job description
Role Summary This role focuses on designing and scaling reusable AI-driven workflows, particularly those powered by large language models and autonomous agents. You will build foundational components and abstractions that enable multiple internal teams to rapidly develop and deploy intelligent systems. The position emphasizes system reliability, evaluation rigor, and thoughtful tradeoffs in model and tooling selection.
Core Ownership Areas Develop reusable agent-based workflows to accelerate delivery across multiple projects. Define and maintain evaluation standards to ensure consistent model performance over time. Improve system reliability across key dimensions such as accuracy, latency, and robustness.
Build shared APIs and platform components used broadly across engineering teams. Key Responsibilities Design and implement orchestration patterns for LLM-powered agents. Evaluate and select models, tools, and providers based on performance, cost, and reliability.
Build testing frameworks, evaluation pipelines, and monitoring systems for AI outputs. Implement safeguards, fallback mechanisms, and cost optimization strategies. Collaborate with platform and backend engineers to integrate AI capabilities into scalable services.
Identify repeatable patterns across projects and convert them into reusable platform features. Requirements Required Experience Strong background in building production-grade distributed systems or platform infrastructure. Practical experience developing and deploying LLM-based or agent-driven systems.
Demonstrated ability to design for reliability, observability, and cost efficiency. High standards for code quality and system design. Nice-to-Have Experience Familiarity with retrieval systems, embeddings, or context management pipelines.
Experience working within regulated or security-conscious environments. Approach to Work Prioritizes measurable quality through structured evaluation and testing. Designs systems for reuse, scalability, and clean abstraction layers.
Focuses on building solutions that generalize beyond a single use case or team. Benefits - Hybrid onsite. - Incredible perks and comp package.