AI Engineer - Mid Level
Tasks
- Apply software engineering testing and quality assurance
- Build Agentic AI workflows
- Design AI platform architecture
- Develop AI-powered applications
- Develop AWS serverless solutions
- Ensure AI platform security and identity management
- Evaluate foundation models and AI system behavior
- Implement monitoring observability and performance optimization
- Implement retrieval augmented generation systems
- Integrate models with MCP and APIs
Perks/Benefits
- Accessibility Support Program
- Childcare assistance
- Continuous learning opportunities
- Dental insurance
- Discount club benefits
- Food allowance
- Gym membership
- Health insurance
- Language education discounts
- Life insurance
- Meal allowance
- Online learning partnerships
- Paternity leave
- Wellbeing resources
Skills/Tech-stack
AI Observability | API Integration | AWS Bedrock | AWS Lambda | AWS Step Functions | Amazon CloudWatch | Amazon EventBridge | Amazon S3 | Content Filtering | Distributed tracing | Fine Tuning | Human-in-the-loop | Identity Management | Injection prevention | LLM security | Langchain | Model Context Protocol | Multi-tenancy | OpenSearch | Pinecone | Prompt engineering | Prompt injection | Prompt injection prevention | Python | Retrieval-Augmented Generation | Step Functions | The Loop | Token analytics | Vector Database
Education
N/A
Roles
AI | AI Engineer | Engineer
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