AI Engineer, Agent/Platform Tracks
Tasks
- Analyze model performance
- Build MCP servers
- Conduct failure analysis
- Configure authentication mechanisms
- Create evaluation datasets
- Design AI agent workflows
- Develop validation layers
- Implement AI agents
- Implement human in the loop feedback
- Implement secure integrations
- Improve prompts and agent configurations
- Maintain evaluation frameworks
- Optimize prompt workflows
Perks/Benefits
- Continuous learning
- Flexible work environment
- Multidisciplinary team collaboration
- Professional development
- Remote work options
- Supportive environment
Skills/Tech-stack
API Integration | AWS Bedrock | AWS IAM | AWS Lambda | AWS S3 | Anthropic API | Authentication | Benchmarking | Evaluation | Human-in-the-loop | LLM API | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MCP | Model Context Protocol | Natural Language | Natural Language Processing | OCR | OpenAI API | PDF extraction | Prompt engineering | Python | Secure tool use | The Loop | Tool use
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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