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Python Llm Jobs in Mesa, AZ (NOW HIRING)

Infosys

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Required : • Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. • Experience Python, Generative AI, and ...

Infosys Limited Digital

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Required Skill and Experience Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. Experience Python, Generative ...

Infosys

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Required Skill and Experience Advanced Python programming, experience with GenAI/LLM integration, data modeling, API development, and deploying solutions on GCP or AWS. Experience Python, Generative ...

Perficientcorp Inc

Gen AI Engineer

Phoenix, AZ · On-site

Job Title - Gen AI Engineer Location - Phoenix, AZ Duration: 12+ Months Interview Mode - In-Person Interview Tech Stack - AI / Agentic AI, LLM, RAG, FastAPI, GCP, Flask, Python, SQL, Docker ...

State Farm

Lead GenAI Engineer (LLM)

Tempe, AZ · Hybrid

$98K - $129K/yr

Proficiency in Python and/or TypeScript for API and AI integration development * Familiarity with ... Hands-on experience building LLM-powered applications, RAG pipelines, or agentic systems * Strong ...

IntraEdge

Data Architect

Chandler, AZ

$61.50 - $79/hr

... LLM-powered conversational agents Strong proficiency in Python for data engineering, automation, and API integration. Experience building knowledgebases and conversational agents (Conversight or ...

Doist

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Work with frameworks such as LangChain and related LLM orchestration tools. * Build and optimize ... Proficiency in Python and common data science libraries/frameworks. * Experience with cloud ...

Koantek

Data Scientist

Chandler, AZ · On-site

Work with frameworks such as LangChain and related LLM orchestration tools. * Build and optimize ... Proficiency in Python and common data science libraries/frameworks. * Experience with cloud ...

Koantek

Data Scientist

Chandler, AZ

Work with frameworks such as LangChain and related LLM orchestration tools. Build and optimize ... Proficiency in Python and common data science libraries/frameworks. Experience with cloud platforms ...

Axon

Senior Machine Learning Scientist

Scottsdale, AZ

$92K - $125K/yr

... LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals. * Strong proficiency in programming languages such as Python, C/C ...

Koantek LLC

Data Scientist

Chandler, AZ · On-site

$90 - $120/hr

Work with frameworks such as LangChain and related LLM orchestration tools. * Build and optimize ... Proficiency in Python and common data science libraries/frameworks. * Experience with cloud ...

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All JobsPython Llm JobsPython Llm Jobs in Mesa, AZ

Python Llm information

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How much do python llm jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for python llm in Mesa, AZ is $58.16, according to ZipRecruiter salary data. Most workers in this role earn between $47.93 and $66.06 per hour, depending on experience, location, and employer.

What is a Python LLM?

A Python LLM job involves working with Large Language Models (LLMs) using Python to develop, fine-tune, and deploy AI models. Responsibilities may include data preprocessing, prompt engineering, model optimization, and integration with applications. Professionals in this role often work with frameworks like TensorFlow, PyTorch, or Hugging Face Transformers. They may also contribute to improving model efficiency, reducing bias, and ensuring ethical AI usage.

What are the key skills and qualifications needed to thrive in the Python LLM position, and why are they important?

To excel as a Python LLM (Large Language Model) Engineer, you need strong skills in Python programming, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Proficiency with libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and experience with model deployment platforms are often essential, alongside certifications in AI or data science. Effective communication, problem-solving abilities, and collaboration are important soft skills for working in interdisciplinary teams and delivering results in dynamic environments. These skills ensure the development, fine-tuning, and deployment of advanced language models that meet both technical and business objectives.

What are some common challenges faced by Python LLM engineers in their daily work?

Python LLM Engineers often encounter challenges related to optimizing model performance, managing large datasets, and adapting models to specific business needs. Working with large-scale language models requires balancing computational resource limitations with the need for high accuracy and efficiency. Collaboration with data scientists, product managers, and DevOps engineers is routine to ensure seamless model integration and deployment. Staying updated on the latest advancements in NLP and continuously improving models based on user feedback are also important aspects of the role.

What are popular job titles related to Python Llm jobs in Mesa, AZ? For Python Llm jobs in Mesa, AZ, the most frequently searched job titles are:
What job categories do people searching Python Llm jobs in Mesa, AZ look for? The top searched job categories for Python Llm jobs in Mesa, AZ are:
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Python Llm jobs near you

Python AI Engineer

WaferWire Cloud Technologies

Phoenix, AZ • On-site

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 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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