AI Engineer
Tasks
- Architect and deploy agentic systems using AWS Bedrock including Bedrock Agents and AgentCore
- Architect multi model and multi agent systems
- Build enterprise grade AI agents on AWS Bedrock
- Build fine tune and optimize AI powered agents
- Build production ready microservices and orchestration pipelines
- Design prompt orchestration flows memory structures and retrieval strategies
- Design routing arbitration and specialization layers for collaborative models
- Develop agentic AI solutions using Anthropic Claude APIs
- Develop backend and orchestration logic using Python and TypeScript
- Implement AWS native knowledge bases tools function calling and event driven automation
- Implement clean modular code for agent logic and memory pipelines
- Implement complex reasoning chains and autonomous task execution
- Implement distributed resilient architectures for low latency and high throughput
- Implement tool use logic and multi step workflows
- Integrate Bedrock models for hybrid agent workflows
- Leverage AWS serverless services for scalable AI solution design
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings plans
Skills/Tech-stack
API Gateway | API Integration | AWS Bedrock | AWS Lambda | Agent systems | Amazon S3 | Amazon Titan | Anthropic Claude | Claude Agent API | Claude Messages API | Claude SDK | DynamoDB | Event Driven | Event-driven architecture | EventBridge | Fine Tuning | Function Calling | Knowledge bases | LLM orchestration | Llama | Messages API | Microservice Architecture | Microservices | Model systems | Multi-Agent | Multi-Agent Systems | Multi-model | Multi-model systems | Prompt engineering | Python | Retrieval-Augmented Generation | Serverless architecture | Step Functions | TypeScript | Vector Store
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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