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Python Engineer Ai Jobs in Arizona (NOW HIRING)

Inficare Technologies

AI Python Engineer

Phoenix, AZ · On-site

Senior AI Python Engineer Location: Phoenix, AZ (Hybrid - 3 days onsite) Job Type: Long-Term Contract Experience: 10+ years Job Overview We are looking for a Senior Engineer - Artificial Intelligence ...

Purple Drive

AI Engineer

Phoenix, AZ

AI Engineer - Agentic AI, Node Js Typescript and Python, Gen AI, Agentic AI . Client is not considering candidates who do not have experience on this. Technical Skills: 6+ years of experience ...

Staffingine LLC

AI Engineer

Phoenix, AZ · On-site

Develop and implement AI solutions using Python and AI frameworks such as Langgraph and Langchain ... engineers and stakeholders to ensure project success Continuously monitor and improve AI system ...

Conch Technologies Inc

Avaya Engineer ( AI/ML )

Phoenix, AZ · On-site

$96K - $132K/yr

Avaya Engineer ( AI/ML ) Location: Phoenix, AZ, Charlotte, NC, and Sunrise, FL ( Onsite 5 days a ... Strong development experience in Python and/or Java * Experience with API development and ...

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 ...

Keylent Inc

Python Backend Engineer

Phoenix, AZ · On-site

The ideal candidate will have expertise in Python, AI and Client concepts, API development, and NLP ... engineering initiatives, contributing to the company's innovative projects and societal impact.

Keylent Inc

Python Backend Engineer

Phoenix, AZ · On-site

The ideal candidate will have expertise in Python, AI and Client concepts, API development, and NLP ... engineering initiatives, contributing to the company's innovative projects and societal impact.

Conch Technologies

Python Developer

Phoenix, AZ · On-site

$50 - $68.75/hr

Python Developer Location: Phoenix, AZ (Local only) Duration: 12 + month contract Top Skills Details * 3+ years of development experience * 2+ years of experience in AI/ML * Strong proficiency in ...

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Python Engineer Ai information

What is the difference between Python Engineer Ai vs Data Scientist?

AspectPython Engineer AiData Scientist
Required SkillsPython, AI/ML frameworks, software developmentStatistics, data analysis, Python, machine learning
Work EnvironmentSoftware development teams, AI projectsResearch, data analysis, business insights
Common CertificationsPython certifications, AI/ML coursesData Science certifications, statistical courses
Industry UsageTech, AI startups, software companiesFinance, healthcare, marketing, research

Python Engineer Ai focuses on developing AI applications and integrating machine learning models into software systems, requiring strong programming skills. Data Scientists analyze data to extract insights, often using statistical methods and data visualization. While both roles involve Python and machine learning, Python Engineer Ai emphasizes software development for AI solutions, whereas Data Scientists focus on data analysis and interpretation.

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Python Engineer Ai jobs near you

AI Python Engineer

Inficare Technologies

Phoenix, AZ • On-site

Full-time

Re-posted 9 days ago

Job description

Job Title: Senior AI Python Engineer
Location: Phoenix, AZ (Hybrid - 3 days onsite)
Job Type: Long-Term Contract
Experience: 10+ years
Job Overview
We are looking for a Senior Engineer - Artificial Intelligence to design and build impactful, intelligent, and secure AI solutions in the Information Security, Governance, and Control space. You will translate complex business requirements into scalable, production-ready AI applications using cutting-edge Generative AI and agentic frameworks.
Key Responsibilities
  • Build and enhance AI/ML and GenAI-powered solutions using Python, LLMs, RAG, prompt engineering, and agentic AI frameworks
  • Develop models for NLP, classification, clustering, anomaly detection, and predictive analytics
  • Support model lifecycle activities: experimentation, evaluation, versioning, deployment, monitoring, and documentation
  • Contribute to cloud-native ML pipelines and AI application deployment using MLOps, APIs, Docker, and Kubernetes
  • Collaborate cross-functionally with Security, Risk, Engineering, Governance, and Data teams
  • Stay current with emerging trends in Machine Learning, Generative AI, Agentic AI, and MLOps
Required Skills
  • Strong Python programming with frameworks such as PyTorch, TensorFlow, or scikit-learn
  • Hands-on experience with LLMs, NLP, embeddings, RAG, and prompt engineering
  • Experience with agentic AI frameworks: LangChain, LangGraph, AutoGen, or CrewAI
  • Exposure to APIs, cloud platforms (AWS, Azure, GCP), Docker, Kubernetes, and vector databases
  • MLOps/data tools: MLflow, Kubeflow, Argo Workflows, Kafka, Spark, or NiFi
Preferred Skills
  • Flask, FastAPI, Hugging Face, Triton Inference Server
  • pgVector, Milvus, Prometheus, Elasticsearch, Kibana
  • CI/CD: Jenkins, GitLab CI, XL Release
Location & Work Model
Phoenix, AZ - Hybrid (3 days onsite per week)
Engagement Details
Long-term contract engagement. Bachelor's degree in Computer Science, Engineering, Data Science, AI, or a related field required.

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