Senior Applied AI Engineer
Tasks
- Add HITL write guardrails with state breakpoints
- Build and scale multi agent state machines
- Build dual engine vector search architecture
- Build standardized MCP servers for tool wrappers
- Configure telemetry for token tracking and streaming traces
- Create serverless ingestion pipelines for documents
- Design and develop agentic AI platform
- Design dynamic widget rendering APIs for Nextjs UI
- Develop intent routing for LLM execution and RAG
- Implement RBAC with JWT pass through and tenant isolation
- Implement chunking and context preservation for RAG
- Integrate PII redaction before indexing
Perks/Benefits
- N/A
Skills/Tech-stack
AI SDK | AWS ECS | AWS ECS Fargate | AWS Key Management Service | AWS Lambda | Amazon Bedrock | Amazon Comprehend | Amazon EventBridge | Amazon OpenSearch | Amazon OpenSearch Serverless | Amazon S3 | Amazon SQS | ECS Fargate | Human-in-the-loop | IAM | JWT | JavaScript | KMS | Key Management Service | Langchain | Langgraph | Micro Frontends | Model Context Protocol | Multi-tenancy | NumPy | OAuth 2.0 | OpenSearch | OpenSearch Serverless | PGVector | PII Redaction | Pandas | PostgreSQL | Pypdf | Python | RAG | RBAC | REST | SQLAlchemy | Server-Sent Events | Serverless | SigV4 | The Loop | TypeScript | Vector Search | Vercel AI SDK | Vercel AI) | Webhooks
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