Senior AI Platform Engineer
Tasks
- Build production GenAI microservices
- Build streaming invocation interfaces
- Collaborate on infrastructure contract
- Create tool interfaces for agent workflows
- Design content safety grounding checks
- Design multi tenant AI platform
- Develop platform APIs and SDKs
- Enforce policy as code governance
- Ensure GDPR compliance
- Ensure SOC 2 Type II compliance
- Ensure pci dss compliance
- Gate CI CD on quality regressions
- Implement GDPR deletion pipeline
- Implement RAG ingestion and retrieval
- Implement security guardrails and content safety
- Integrate version promotion pipeline
- Manage multi tenant namespace isolation
- Operate automated content ingestion pipeline
- Orchestrate multi-agent workflows
- Run distributed tracing and observability stack
- Set up LLM eval suites
- Set up per tenant cost attribution
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS | AWS XRay | Amazon Bedrock | Anthropic API | BigQuery | CCPA | ChromaDB | CloudFront | CloudWatch | Databricks | Delta Lake | Django | Docker | EKS | Elasticsearch | Express | Faiss | FastAPI | Flask | GDPR | GitHub Actions | Hugging Face | Hugging Face Transformers | IAM | IRSA | KMS | Kubernetes | Kubernetes deployment | Lambda | Langchain | Langgraph | Langsmith | Llamaindex | MLflow | NestJS | NoSQL | Node.js | OpenAI API | OpenSearch Serverless | PCI DSS | Pinecone | Policy-as-Code | PrivateLink | PySpark | Python | RAG | Ragas | Redis | S3 | SOC 2 | SOC 2 Type II | SageMaker | Step Functions | Terraform | TypeScript | Vector Database | WAF | Weaviate | “as-code”
Education
Regions
Countries
States
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