AI Automation Engineer
Tasks
- Apply prompt engineering and tool calling
- Collaborate with data science and cross-functional teams
- Deploy monitor evaluate agentic systems
- Design deploy AI agents
- Evaluate agent performance and reliability
- Implement Responsible-AI guardrails
- Implement retrieval-augmented generation pipelines
- Integrate agents with tools APIs databases enterprise systems
- Orchestrate single and multi agent workflows
- Reengineer workflows as automated workflows
Perks/Benefits
- 401k employer match
- Employee Assistance Program Tuition Reimbursement
- Health, dental, vision coverage
- Learning and development programs
- Life insurance
- Paid parental leave
- Paid time off
- Short-term disability
- Student loan repayment
- Wellness reimbursement
Skills/Tech-stack
API Development | AWS | Autogen | Azure | ChromaDB | Containerization | CrewAI | Docker | Function Calling | GCP | Git | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Microsoft Fabric | Model Context Protocol | Pinecone | Prompt engineering | Python | Responsible AI | Retrieval-Augmented Generation | Tool-Calling | Vector Databases | Weaviate
Education
Roles
AI | AI & Automation Engineer | AI Automation | Automation Engineer | Engineer
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