Agentic AI Engineer
United States - Remote
R
USD 125K-180K (estimate) Senior-level Full Time
Tasks
- Build APIs for generative AI
- Build reusable production data pipelines
- Build scalable machine learning systems
- Collaborate with cross-functional teams
- Conduct A/B testing
- Deploy machine learning solutions
- Design agentic AI workflows
- Develop generative AI applications
- Develop production quality code
- Evaluate LLM and prompt performance
- Execute machine learning workflows
- Implement RAG systems
- Improve machine learning models
- Monitor machine learning systems
- Package and deploy code as containers
- Validate machine learning models
- Work in agile environment
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Agent systems | Amazon SageMaker | Autogen | Automl | Cloud platform | CrewAI | Docker | EC2 | Google Cloud | Google Cloud Platform | Knowledge graphs | Langchain | Langgraph | Language Processing | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | OpenAI | Prompt engineering | PyTorch | Python | RAG | Reinforcement Learning | Retrieval-Augmented Generation | S3 | Scikit-learn | Semantic Kernel | TensorFlow | Vector Databases | Vertex AI
Education
N/A
Roles
AI | AI Engineer | Agentic AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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