AI Engineer II
Sunrise, FL, United States
USD 89K-150K (estimate) Mid-level Full Time
Tasks
- Build and support shared AI platforms including agent orchestration evaluation systems and deployment pipelines
- Build intelligent workflows using context and enterprise data
- Design and build scalable AI and agentic systems to improve customer engagement
- Design and deliver production ready AI solutions including LLM apps and RAG systems
- Ensure AI systems meet security compliance explainability and responsible AI standards
- Improve operations with AI monitoring quality checks and governance
- Own end to end delivery from problem definition prototyping to deployment monitoring and improvement
- Use LLMs GenAI or applied machine learning to build and run large scale AI solutions
- Work with product engineering and business teams to deliver AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Apache Airflow | Backend Services | BigQuery | Cloud Dataflow | Cloud platform | Compliance | Composer | Data Pipelines | Dataproc | Distributed Systems | Docker | Event Driven | Event-driven architecture | Explainability | Fine Tuning | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Evaluation | Model Monitoring | Prompting | PyTorch | Python | Responsible AI | Retrieval-Augmented Generation | Scikit-learn | Security | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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