Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Phoenix, AZ, United States
Posted
Yesterday
DockerAWSMLflowNLPScikit-learnAzureGenerative AIGoogle CloudKafkaKubernetesPhoenixPyTorchPythonTensorFlow
Job Description
We have a Sr. Python AI Engineer role available, but candidates must be willing to work as hybrid onsite in Phoenix and must Interview In-Person at the facility in Phoenix (no remote interviews at all all only In-Person Interviews).
Top 3 Requirements
- 8+ years of Software Engineering
- AI/ML Engineering experience. Hands-on GenAI experience with LLMs, RAG, Prompt Engineering, and Agentic AI frameworks (LangChain, AutoGen, CrewAI, etc.)
- Strong Python API development background
Additional Desired Experience
- PyTorch, TensorFlow, scikit-learn
- NLP, embeddings, vector databases
- MLflow, Kubeflow, Argo Workflows
- Kafka, Spark, NiFi
- Docker, Kubernetes
- AWS, Azure, or Google Cloud Platform
- Production AI application development
Team/Project Summary
This team is building production AI solutions focused on Information Security, Governance, and Risk. They are looking for an Engineer who can design, deploy, and support enterprise-scale AI/ML and Generative AI applications (not just someone who can build prototypes).
Please send:
- Updated Resume
- Current Physical location
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