AI Systems Engineer
Boston, MA, United States
USD 133K-186K Senior-level Full Time Found 2d ago
Tasks
- Architect and evolve distributed and event-driven systems
- Build and deploy multi-model AI agents leveraging AWS Bedrock and LLM providers
- Collaborate with product managers and data scientists
- Communicate technical progress
- Contribute to internal AI playbooks
- Design REST/GraphQL APIs
- Design and implement production-grade RAG architectures
- Design fallback strategies
- Design safe tool invocation patterns and guardrails
- Develop multi-agent orchestration frameworks
- Ensure system reliability and security standards
- Implement asynchronous processing pipelines
- Implement dynamic model routing strategies
- Implement evaluation frameworks
- Optimize inference pipelines
Perks/Benefits
Skills/Tech-stack
API Design | Agent systems | Concurrency | Cost monitoring | Distributed Systems | Event Driven | Event-Driven Architectures | EventBridge | Java | Kafka | Kotlin | LLMs | Latency optimization | Model versioning | Multi-Agent | Multi-Agent Systems | NodeJs | Observability | Python | Queue systems | RAG Pipelines | Reliability Engineering | Rust | SNS/SQS | Security | Vector Databases | Workflow Orchestration
Education
Bachelor's | Master's | PhD
Roles
Regions
Countries
States
Cities
Language: en |
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