AI Automation Engineer
Tasks
- Apply prompt and context engineering
- Assist with model fine tuning and customization
- Build LLM based agents for business use cases
- Build automation integrations
- Build monitoring dashboards
- Collaborate with stakeholders to deliver solutions
- Communicate technical concepts to non-technical audiences
- Create monitoring and evaluation tests
- Design and develop AI agent workflows
- Develop evaluation methods for agent accuracy and quality
- Evaluate and select LLMs and SLMs
- Implement RAG patterns
- Implement document processing pipelines
- Maintain documentation and knowledge sharing
- Participate in agile ceremonies
- Troubleshoot automation failures and drive improvement
- Write clean, well-documented code
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | API Integration | AWS Lambda | AWS Step Functions | Amazon Bedrock | CI/CD | Content Generation | Context engineering | Data extraction | Docker | Document processing | Embeddings | Evaluation Frameworks | Fine Tuning | Git | Integration Testing | LLM APIs | Language Models | Language Processing | Large Language Models | Machine Learning | Monitoring Dashboards | N8n | Natural Language | Natural Language Processing | Prompt engineering | Python | RAG | REST APIs | Retrieval-Augmented Generation | Step Functions | Unit Testing | Vector Databases | Webhooks
Roles
AI | AI & Automation Engineer | AI Automation | AI Engineer | Automation Engineer | Engineer | Software Engineer
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