Staff Backend AI Engineer, Remote
United States, UNITED STATES, United States
R
USD 140K-215K (estimate) Senior-level Full Time
Tasks
- Architect and build transactional services
- Conduct incident post mortems and reliability improvements
- Conduct technical design reviews
- Design AWS native infrastructure
- Develop Go microservices
- Develop Python services
- Establish engineering standards
- Implement CI/CD pipelines
- Implement async processing patterns
- Implement observability instrumentation
- Implement tool calling and multi agent coordination
- Lead agentic AI workflow design
- Lead proof of concept evaluations
- Mentor engineers through code reviews and coaching
- Optimize database queries and caching
- Participate in on-call incident response
- Present production readiness recommendations
- Resolve distributed system performance issues
- Write architecture decision records
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible time off
- Flexible work schedule
- Medical insurance
- Paid Holidays
- Remote work
- Sick time
- Vacation time
- Vision insurance
- Volunteer time off
Skills/Tech-stack
API Gateway | AWS CDK | AWS ECS | AWS EKS | AWS Fargate | AWS Lambda | AWS S3 | Agent systems | Amazon API | Amazon API Gateway | Amazon CloudFront | Amazon DynamoDB | Amazon EventBridge | Amazon MSK | Amazon RDS | Amazon RDS Aurora | Amazon SQS | Amazon SageMaker | Amazon VPC | Architecture Decision | Architecture Decision Records | Asyncio | Autogen | CI/CD | Cloud Monitoring | CloudWatch | CrewAI | Datadog | Decision records | Distributed tracing | Docker | Elasticsearch | FastAPI | GitHub Actions | Go | Harness | Helm | Infrastructure as Code | Jenkins | Kafka | LLM integration | Langgraph | Multi-Agent | Multi-Agent Systems | OpenTelemetry | PostgreSQL | Postgres query optimization | Pydantic | Python | Query Optimization | RAG | RDS Aurora | Redis | Redis Cache | Structured Logging | Terraform | Tool-Calling | “as-code”
Education
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