AI Engineer
EUR 25K-33K (estimate) Entry-level Full Time
Tasks
- Build and deploy applications with LLMs
- Build and optimize multi agent AI systems
- Collaborate with cross-functional teams
- Contribute to MLOps pipelines and deployment workflows
- Deploy scale and monitor AWS services
- Design and develop serverless services using Python frameworks
- Design and implement RAG pipelines
- Design data models and retrieval strategies for vector and graph data
- Integrate AI services and model APIs
- Stay updated on LLM RAG and multi agent advancements
Perks/Benefits
- Extra vacation days
- Flexible working hours
- Hybrid or remote work
- Meal allowance
- Multisport card covered by employer
- Paid transportation
- Pet-friendly office
Skills/Tech-stack
API Gateway | AWS IAM | AWS Lambda | AWS Step Functions | Agent Orchestration | Agent systems | Amazon API | Amazon API Gateway | Amazon Aurora | Amazon Bedrock | Amazon CloudWatch | Amazon DynamoDB | Amazon ECS | Amazon EventBridge | Amazon Fargate | Amazon RDS | Amazon S3 | Amazon SNS | Amazon SQS | Amazon SageMaker | Authentication | Authorization | CI/CD | Clean Code | Context Construction | Docker | Document Automation | Embeddings | Entity recognition | Function Calling | Graph Database | GraphRAG | Grounding | Hybrid search | Information Extraction | Knowledge graph | Langchain | Llamaindex | MLOps | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Named Entity Recognition | Object-Oriented | Object-oriented programming | Observability | Python | REST API | Reranking | Retrieval-Augmented Generation | Semantic Search | Serverless architecture | Step Functions | Summarization | Text Classification | Vector Database | Vector Search | WebSocket
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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