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Llm Agent Jobs in Arizona (NOW HIRING)

Intel

Sr. AI Software Engineer - Agent Harness

Phoenix, AZ · On-site

$121K - $160K/yr

Interest in LLM agents and how they actually work under the hood IMPORTANT: Please be informed that ... Experience with agent frameworks, tool / function calling, or MCP * Built developer tooling, CLIs ...

ClifyX

Security Architect

Phoenix, AZ · On-site

$64.50 - $83.50/hr

... LLM usage, and multi-agent frameworks. • Ensure architectural documentation expresses the problem space, options, controls, and trade-offs clearly and defensibly. • Promote structured ...

Robustware

AI Quality Engineer Lead

Phoenix, AZ · On-site

$71K - $92K/yr

... and agent lifecycle management. AI/LLM Validation & Assurance Ability to define and implement testing strategies for AI systems including hallucination detection, response quality evaluation ...

Apex Systems

Manager- Application & AI Security

Scottsdale, AZ · On-site

$59.50 - $79.50/hr

Conduct prompt-injection / jailbreak testing and LLM red-teaming (OWASP Top 10 for LLM Applications; MITRE ATLAS). * Secure MCP and AI-agent runtimes: per-tool-call authorization, guardrails, and ...

Provn

Manager, Application & AI Security

Scottsdale, AZ · Remote

$137K - $206K/yr

LLM and Copilot usage policy, the AI and model inventory and AI-BOM, the model registry and approval workflow, prompt-injection and jailbreak testing, LLM red-teaming, and MCP and AI-agent runtime ...

Neto

Forward Deployed Engineer

Scottsdale, AZ · On-site

$100 - $125/hr

... clean agent to Customer Success * Own tier-2 escalations on the agents you built, and ship about twelve clean a month What you bring * Strong prompting and LLM-application skills, plus comfort ...

American Express

Sr AI Engineer I

Phoenix, AZ · On-site

$103K - $142K/yr

Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology. * Own ...

American Express

Sr AI Engineer I

Phoenix, AZ · On-site

$123K - $215K/yr

Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation and monitoring tooling, that scales agentic development across Amex Technology. * Own ...

Troon

AI Platform Architect

Scottsdale, AZ · On-site

Deep understanding of LLM application architecture, including RAG, function calling, and agent orchestration patterns * Strong proficiency in data modeling, semantic layer design, and integration ...

Troon Golf

AI Platform Architect

Scottsdale, AZ · On-site

Deep understanding of LLM application architecture, including RAG, function calling, and agent orchestration patterns * Strong proficiency in data modeling, semantic layer design, and integration ...

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All JobsLlm Agent JobsLlm Agent Jobs in Arizona

Llm Agent information

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.

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Llm Agent jobs near you

Senior Kotlin/Spring Boot Engineer at Phoenix, AZ (Onsite)

Tech Mirrors

Phoenix, AZ • On-site

$150 - $200/hr

Other

Posted 21 days ago

Job description

Position: Senior Kotlin/Spring Boot Engineer Location: Phoenix, AZ (Onsite) Duration: Long term C2C Skills: Kotlin Engineer, Kotlin, Spring boot, Temporal Job Description:

We’re hiring a senior Kotlin/Spring Boot contractor to help own the execution backbone of a no-code workflow platform. This is not a simple CRUD service. The Orchestrator runtime is a multi‑module system that receives workflow execution requests, persists durable state with Temporal, coordinates graph execution, integrates HTTP, agent, LLM, and human-review nodes, and safely executes increasingly AI-generated workflow graphs. You’ll join the squad responsible for the runtime layer that everything else depends on.

Responsibilities:
  • Design and harden the Kotlin/Spring Boot runtime that executes workflow graphs reliably in production.
  • Implement and improve Temporal.io workflows, activities, signals, queries, retries, and recovery paths.
  • Strengthen contract-first APIs and shared contracts.
  • Own failure-mode thinking across distributed execution retries, idempotency, partial failure, replay safety, pause/resume, and graceful degradation.
  • Work across node types, including HTTP, agentic tool-calling, LLM, and human-in-the-loop review nodes.
  • Improve integration coverage using Test containers and layered Docker Compose profiles.
  • Collaborate closely with Composer and AI/KB teams on execution semantics and runtime behavior.
  • Write clear operational documentation and runbooks for a reliability-critical service.
Qualifications:
  • Strong production Kotlin backend experience.
  • Strong Spring Boot experience in distributed systems or platform services.
  • Hands‑on Temporal experience in production.
  • Strong understanding of workflow durability, retries, idempotency, and recovery design.
  • Experience with multi‑module Gradle codebases and contract‑first API design.
  • Experience with JPA/Hibernate and PostgreSQL.
  • Experience with Docker Compose/Test containers integration testing.
  • Comfort debugging multi-service systems with mixed Kotlin and Python components.
  • Experience with observability tools like micrometer
  • Experience with contract first development
Strong Pluses:
  • Experience with DAG/workflow/orchestration engines.
  • Experience with AI/LLM/agent runtimes or other non‑deterministic execution systems.
  • Familiarity with FastAPI-based workers and cross-language integration.
  • Experience with auth/token provider abstractions, OAuth2/JWT, or cached token acquisition.
  • Experience writing operational docs, runbooks, and reliability guidance.
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