Senior Applied AI Engineer
Tasks
- Add caching and token usage tracking
- Apply IAM encryption and secure authentication
- Architect agentic AI systems
- Build scalable AWS serverless AI pipelines
- Deploy vector search and hybrid search
- Develop generative UI APIs
- Enforce security multi tenancy isolation
- Implement LLM routing and observability
- Implement retrieval augmented generation systems
- Integrate MCP tools with legacy systems
- Orchestrate stateful AI agents
Perks/Benefits
- Company life insurance
- Employee assistance program
- Flexible spending accounts
- Flexible work environment
- Healthcare coverage
- Holidays
- No-cost mental health support
- Paid time off
- Remote-friendly
- Retirement plan
Skills/Tech-stack
AWS KMS | AWS Lambda | Amazon Bedrock | Amazon ECS | Amazon ECS Fargate | Amazon EventBridge | Amazon IAM | Amazon S3 | Amazon SQS | Caching | Document parsing | ECS Fargate | Hybrid search | JWT | JavaScript | LLM routing | Langchain | Langgraph | Multi-tenancy | NumPy | OAuth2 | OCR | Observability | Pandas | Python | Retrieval-Augmented Generation | Secure Authentication | Serverless architecture | Telemetry | TypeScript | Vector Databases | Vector Search
Education
N/A
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