AI Application Engineer – AI Products (LLM & RAG) (m/f/d)
Tasks
- Build LLM powered applications with RAG
- Build knowledge retrieval systems
- Deploy AI systems to cloud and production
- Design AI powered applications
- Design scalable AI microservices and APIs
- Develop end-to-end AI products
- Ensure reliable scalable and observable AI services
- Implement CI/CD pipelines and monitoring
- Implement vector search and embeddings pipelines
- Integrate LLM APIs with enterprise data sources
- Prototype AI product features to production
Perks/Benefits
- Childcare allowance
- Conferences
- Corporate savings plan
- Gym subsidy
- Hackathons
- Home office
- Insurance and pension scheme
- Paid communities of practice
- Paid training
- Wellpass
- Workation options
Skills/Tech-stack
AI Observability | APIs | AWS | Azure | CI/CD | DevOps | Docker | Embeddings | GCP | Huggingface | Kubernetes | LLM APIs | LLM Evaluation | Langchain | Llamaindex | Microservices | Monitoring | Python | RAG | Retrieval-Augmented Generation | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Application Engineer | Application Engineer | Engineer
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