AI Engineer
Tasks
- Build AI copilots assistants and agents
- Build agent based automation tools
- Create AI workflows for enterprise integrations
- Deploy monitor and optimize production AI applications
- Design and deploy Generative AI solutions
- Develop MCP servers and integrations
- Establish evaluation monitoring and governance processes
- Implement retrieval-augmented generation solutions
- Improve AI system reliability scalability security and performance
- Partner with cross functional teams to deliver AI use cases
- Train fine tune evaluate and optimize AI models
Perks/Benefits
- 401k match
- Commuter benefits
- Education assistance
- Employee assistance program
- Hybrid work
- Life and AD&D insurance
- Medical, dental, and vision insurance
- Paid Holidays
- Paid time off
- Wellness program
Skills/Tech-stack
APIs | Autogen | CI/CD | Computer Vision | Copilot Studio | CrewAI | Data Privacy | Databases | Generative AI | Knowledge Management | LLM | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Copilot | Microsoft Copilot Studio | Model Evaluation | Model Governance | Model Monitoring | OCR | Python | RAG | Responsible AI | Retrieval-Augmented Generation | Security | Semantic Kernel
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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