AI Agent Engineer - Python - Generative AI
Tasks
- Build LLM agents
- Build scalable serverless architectures
- Deploy LLM agents
- Design LLM agent workflows
- Develop prompting and tool calling
- Evolve PoCs into production
- Implement observability and monitoring
- Integrate AI models into agent workflows
- Manage agent memory
- Optimize AI costs
- Run rapid PoCs
Perks/Benefits
- Flexible benefits
- Free Legal Support
- Free emotional support
- Free family support
- Gym discounts
- Hybrid work model
- Language courses
- Paid vacation
- Private health insurance
- Sick leave coverage
- Sports compensation
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS Bedrock AgentCore | AWS Cloud | AWS Cloud Development Kit | AWS IAM | AWS Lambda | AWS cloud development | Amazon API | Amazon API Gateway | Amazon DynamoDB | Amazon Kinesis | Bedrock AgentCore | CI/CD | Cloud Development Kit | GitHub Actions | Infrastructure as Code | Langchain | Langgraph | Monitoring | Observability | Prompt engineering | Pytest | Python | Terraform | “as-code”
Education
N/A
Roles
AI | AI Engineer | AI/Agent Engineer | Agent Engineer | Engineer | Generative AI Engineer
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