Ai Engineer
JCI HQ Glendale, United States
USD 85K-110K Senior-level Full Time
Tasks
- Apply software testing and version control
- Build and deploy Generative AI systems
- Build and maintain data pipelines
- Build and operate ML pipelines and MLOps workflows
- Deploy and monitor models in production
- Develop LLM-powered applications
- Develop reusable AI services and APIs
- Evaluate and improve model performance
- Guide junior engineers on technical problems
- Implement prompt engineering and fine-tuning
- Implement retrieval-augmented generation workflows
- Orchestrate LLM workflows and agent tasks
- Partner with stakeholders to deliver AI solutions
- Support proofs of concept for LLM use cases
Perks/Benefits
- 401k
- Collaborative team environment
- Cross-training opportunities
- Dental insurance
- Health insurance
- Hybrid work arrangement
- Paid Holidays
- Paid sick time
- Paid vacation
- Safety first Zero Harm policy
- Vision insurance
Skills/Tech-stack
AWS SageMaker | Agent Framework | Azure ML | Azure OpenAI | Bedrock | CI/CD | Docker | ETL | Embeddings | Fine Tuning | Forecasting | Generative AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Langchain | Language Models | Large Language Models | LoRA | MLOps | Machine Learning | Microsoft Agent | Microsoft Agent Framework | Model Serving | Pandas | Prompt engineering | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Semantic Kernel | Snowflake | Statistical modeling | Vector Databases | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
Language: en
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