Forward Deployed AI Engineer
Tasks
- Build and deploy production ready GenAI solutions
- Co create AI solutions with stakeholders
- Create reusable patterns accelerators and building blocks
- Define success criteria for adoption performance reliability risk cost and value
- Design RAG architectures
- Develop intelligent assistants and AI workflows
- Document govern and ensure solution transferability
- Monitor and improve AI solutions using feedback
- Prototype test and deploy AI in client environments
- Secure and qualify data for AI use cases
Perks/Benefits
- Dedicated coach
- Eco vouchers
- Group insurance
- Hospitalization insurance
- Mobility budget
- Net allowances
- Training budget
Skills/Tech-stack
AI Agents | API Integration | AWS | Autogen | Azure | CI/CD | Cloud Platforms | Docker | Embeddings | GCP | GenAI | Git | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Model Evaluation | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Kernel | Vector Search
Education
Roles
AI | AI Engineer | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist | Software Engineer
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