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Urgently Hiring Python Llm Jobs in Arizona (NOW HIRING)

Globe Telecom, Inc.

AI Delivery Engineer

Globe, AZ · On-site

Hands-on Python and SQL are a big advantage and will shape how far the role can go. You will work ... AI-assisted development workflows - agentic coding tools (Claude Code, Copilot), LLM APIs, prompt ...

New

Gemini

Senior Enterprise Infrastructure Engineer

Tempe, AZ · On-site

$105K - $143K/yr

... hiring, and process improvement. Preferred : • Experience in fintech, crypto, or regulated ... LLM-driven automation). • Proficiency in Go, Python, and/or Swift for internal tooling ...

Globe Telecom, Inc.

AI Solution Expert

Globe, AZ · On-site

$52.50 - $67.75/hr

... LLM gateways, vector databases, and agentic orchestration layers) to be leveraged across the ... Strong programming skills (Python, R, Java, etc.). * Experience with big data technologies (Hadoop ...

New

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 ... Strong command of Python, TypeScript, Go, Rust, C++ * Expertise with async, concurrency, and ...

Intel

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

... apply, and our hiring team will be glad to contact you when/if relevant. Qualifications ... Proficient in Python * Proficient in LLM architectures, optimization and model training dynamics.

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Urgently Hiring Python Llm information

What is the difference between Urgently Hiring Python Llm vs Data Scientist?

AspectUrgently Hiring Python Llm
Primary RoleDeveloping and fine-tuning large language models using Python
Required SkillsPython, NLP, machine learning, deep learning, LLM frameworks
Work EnvironmentResearch labs, AI companies, tech startups
Industry UsageAI development, NLP applications, language model deployment

While both roles involve Python and AI, Urgently Hiring Python Llm focuses specifically on large language models, whereas Data Scientists work broadly on data analysis, modeling, and insights across various domains. The Python Llm role emphasizes deep learning and NLP expertise, often in AI-centric environments, making it more specialized compared to the versatile data science position.

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Python AI Engineer

WaferWire Cloud Technologies

Phoenix, AZ • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

Job Title: Python AI Engineer
Location: Salt Lake City, UT or Phoenix, AZ or Sunrise, FL
Worksite: Onsite
About WCT
WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world's most innovative companies. As a WCT employee, you'll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution.
Job Summary
  • We are hiring a Python Platform Engineer to operate and evolve the infrastructure behind an enterprise knowledge base platform that is moving from a Confluence-focused RAG chatbot into a broader agentic knowledge system.
  • Today, the platform supports Confluence/GitHub ingestion → chunking → pgvector → RAG retrieval → FastAPI serving. Over the next phase, we are expanding toward hybrid retrieval (vector + sparse + graph), multi-source ingestion, evaluation pipelines, agent infrastructure, harness and shared chat platform primitives.

What You'll Own:
  • Architect and implement backend services in Python 3.11, FastAPI, Pydantic, SQLAlchemy async, and asyncpg
  • Design retrieval and orchestration trade-offs around quality, latency, cost, safety, and operational simplicity
  • Build production-grade agent runtime capabilities: memory boundaries, tool sandboxing, permissions, and budget controls
  • Improve answer grounding, failure analysis, and citation enforcement rather than optimizing for demo behavior
  • Create observability and operational feedback loops with OpenTelemetry, Prometheus/Grafana, Docker/Helm, and GitHub Actions
  • Work closely with product and engineering partners to support multiple conversational surfaces through one knowledge platform
  • Ingestion infrastructure across current and future content sources
  • Observability across application, pipeline, database, and model-serving behavior
  • Cost, latency, throughput, and failure-mode management for AI-heavy workloads
  • Release workflows that validate AI behavior changes, not just code compilation

Qualifications:
  • Strong hands-on experience with Python in platform, automation, or infrastructure-heavy environments
  • Experience building CLI tools using Python, Golang or Rust.
  • Hands-on experience with LangGraph, LangChain, pgvector, and modern retrieval pipelines
  • Experience designing evaluation frameworks for LLM-backed systems, including regression detection and quality measurement
  • Strong experience with Docker, Helm, GitHub Actions, and Kubernetes-oriented workflows
  • Familiarity with the operational characteristics of embedding pipelines, vector search, and LLM-backed systems
  • Strong observability skills across metrics, tracing, dashboards, alerting, and log analysis
  • Experience with ingestion, ETL, or content-processing pipelines at scale
  • Ability to think in terms of reliability, cost, latency, throughput, and recovery

Nice to Have:
  • Experience with Qdrant, Neo4j, or other vector/graph infrastructure
  • Experience supporting RAG, search, evaluation, or agent platforms
  • Experience in enterprise or regulated environments
  • Familiarity with Vault, Splunk, Artifactory, ECR
  • Comfort using AI-assisted engineering workflows in day-to-day work

Compensation / Salary Range: The typical pay range for this role is: USD $110,000/Yearly - $125,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment.
WCT will accept applications and processes offers for these roles until the role is filled.
Equal Employment Opportunity Declaration:
WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

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