AI Engineer
Tasks
- Analyze customer infrastructure and generate cost optimization reports
- Analyze infrastructure in real time
- Build ML pipelines from training to production
- Build and deploy machine learning models
- Build evaluation frameworks for model quality
- Build multi agent systems for troubleshooting and optimization
- Design and build autonomous AI agents
- Develop AI tools for sales and support
- Develop MCPs for AI agent access
- Develop internal AI tools
- Ensure AI systems are reliable and safe
- Implement security controls for production AI
- Integrate AI systems with Slack and Jira
- Make intelligent decisions for resource management
- Monitor and continuously improve models
Perks/Benefits
- N/A
Skills/Tech-stack
Jira | Langchain | Langgraph | Language Models | Large Language Models | MLOps | Machine Learning | MetaGPT | PydanticAI | Python | RAG | Retrieval-Augmented Generation | Slack | Vector Database
Education
N/A
Roles
Regions
Countries
States
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