AWS AI Engineer
EUR 50K-62K (estimate) Mid-level Full Time
Tasks
- Apply Well-Architected Framework
- Build ML models on SageMaker
- Build autonomous multi-agent systems
- Collaborate with engineering teams
- Deploy generative AI solutions on AWS
- Design production AI agents
- Design secure scalable AI architectures
- Enforce IAM and encryption
- Ensure compliance with EU AI Act
- Ensure compliance with GDPR
- Ensure compliance with ISO 27001
- Handle PII data privacy
- Implement automated agent evaluation
- Implement rag pipelines
- Implement responsible AI controls
- Manage CI CD for AI workloads
- Manage infrastructure as code with Terraform
- Mentor junior engineers
- Operationalize LLMOps for agents
- Optimize cost latency performance
- Provide customer AI engineering advisory
- Select evaluate integrate foundation models
- Set up guardrails observability
Perks/Benefits
- Career path
- Company car or mobility budget
- Continuous learning opportunities
- On call rotation when required
- Premium benefits
- Work-life balance
Skills/Tech-stack
A/B | A/B Testing | API Gateway | AWS CDK | Agent Orchestration | Amazon Bedrock | Amazon Q | Amazon SageMaker | B testing | Bedrock AgentCore | CI/CD | CloudFormation | CrewAI | ECS | EKS | Encryption | Human-in-the-loop | IAM | Infrastructure as Code | LLMOps | Lambda | LangChain Agents | Langchain | Langgraph | MLOps | Multi-Agent | Multi-agent orchestration | Observability | PII | Prompt engineering | Python | RAG evaluation | Retrieval-Augmented Generation | S3 | Terraform | The Loop | Tool-Calling | VPC | Vector Databases | “as-code”
Education
Roles
AI | AI Engineer | AWS AI Engineer | Engineer | Senior AWS AI Engineer
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