Sr. Python/AI Software Engineer (GenAI/LLM) – Phoenix, AZ (Hybrid) – W2 Only

Phoenix, AZ, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
No Travel Required
Able to Sponsor
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Python
  • AI Engineer
  • Artificial Intelligence
  • Machine Learning
  • Generative AI
  • GenAI
  • LLM
  • GPT
  • RAG
  • LangChain
  • AutoGen
  • CrewAI
  • Prompt Engineering
  • NLP
  • FastAPI
  • Flask
  • PyTorch
  • TensorFlow
  • scikit-learn
  • MLflow
  • Kubeflow
  • Kubernetes
  • Docker
  • AWS
  • Azure
  • GCP
  • Kafka
  • Spark
  • NiFi
  • Vector Database
  • pgVector
  • Milvus
  • Information Security
  • MLOps
  • Phoenix AZ

Summary

Job Title: Sr. Python/AI Software Engineer (GenAI/LLM) – Phoenix, AZ (Hybrid) – W2 Only

Location: Phoenix, AZ (Hybrid – 3 Days Onsite)

Duration: Long-Term Contract

Employment Type: W2 Only (No C2C / No Third Party)

Interview: In-Person Interview in Phoenix, AZ – Mandatory so looking for local to AZ candidates. If you are not local please don’t apply for this role

Job Description

We are seeking an experienced Sr. Python/AI Software Engineer to design and build enterprise-grade AI solutions supporting Information Security, Governance, and Technology Risk initiatives. The ideal candidate will have strong expertise in Python, Machine Learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks.

Required Qualifications

  • 8+ years of software engineering experience
  • Strong hands-on experience with Python
  • Experience building AI/ML and Generative AI applications
  • Expertise with Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt Engineering
  • NLP, Embeddings, Classification, Clustering, Anomaly Detection
  • Agentic AI frameworks (LangChain, AutoGen, CrewAI, or similar)
  • PyTorch, TensorFlow, scikit-learn
  • FastAPI and/or Flask
  • REST API development
  • Docker & Kubernetes
  • AWS, Azure, or Google Cloud Platform
  • MLflow, Kubeflow, Argo Workflows
  • Kafka, Spark, NiFi
  • SQL/NoSQL databases
  • Vector Databases (pgVector, Milvus)
  • GitLab CI, Jenkins
  • Strong understanding of MLOps and AI model lifecycle

Preferred Experience

  • Information Security
  • Governance & Risk
  • Responsible AI
  • Production AI deployments
  • Cloud-native AI applications

Work Arrangement

  • Hybrid (3 days onsite in Phoenix, AZ)
  • Long-term contract
  • In-person interview required in Phoenix, AZ

Important Notes

  • W2 Candidates Only
  • No C2C
  • No Third-Party Vendors
  • Local candidates or those able to attend an in-person interview in Phoenix, AZ are strongly preferred.

Send your updated resume to:

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91170923
  • Position Id: 9040099
  • Posted 1 hour ago
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Venkat Kamisetti

Recruiter @ Congensys Corp.
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