Software Engineer, Cloud Infrastructure (Multiple Seniority Levels)
Tasks
- Build LLM application services with streaming batching and backoff
- Build and maintain CI CD pipelines for apps infrastructure and ML pipelines
- Build data ingestion and processing pipelines with Glue and Lake Formation
- Build offline and online eval harnesses for LLM systems
- Design embedding and chunking pipelines for RAG
- Design provision and maintain AWS infrastructure using infrastructure as code
- Enforce safety privacy and compliance with guardrails and access controls
- Implement observability using telemetry and dashboards
- Implement prompt tool and agent execution flows using LangChain
- Manage AWS identity and access management and encryption keys
- Manage IoT deployments including secure messaging and over the air updates
- Operate secure AWS networking with VPC and PrivateLink
- Operate vector search and tune retrieval recall latency and cost
- Optimize retrieval context window caching and inference performance
- Stand up and operate LLM inference endpoints
Perks/Benefits
Skills/Tech-stack
AWS | AWS Athena | AWS Bedrock | AWS CDK | AWS CodeBuild | AWS CodePipeline | AWS ECS | AWS EKS | AWS Glue | AWS Lambda | AWS SQS | AWS Secrets | AWS Secrets Manager | AWS Step Functions | Airflow | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon S3 | Amazon SageMaker | Aurora PostgreSQL | Autoscaling | Bedrock Knowledge Bases | CI/CD | CloudWatch | Data redaction | Embeddings | EventBridge | Function Calling | GitHub Actions | Guardrails | IAM | Infrastructure as Code | KMS | Knowledge bases | Lake Formation | Langchain | OpenSearch | OpenSearch Serverless | OpenTelemetry | PGVector | PII Detection | Pinecone | PrivateLink | Quantization | RAG | Rate Limiting | Redis | Retrieval-Augmented Generation | Secrets Manager | Step Functions | Terraform | Token budgeting | VPC | VPC Endpoints | Vector Databases | “as-code”
Education
N/A
Regions
Countries
States
Cities
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