(Senior) GenAI Engineer
Tasks
- Build and optimize RAG pipelines
- Collaborate with data scientists and engineers
- Design and implement GenAI workflow automations
- Design and implement genai solutions
- Develop prompt engineering strategies
- Integrate GenAI systems with APIs
- Integrate external data sources
- Manage prompt lifecycles
- Own solution design and delivery
- Prototype new GenAI use cases
- Validate ideas with success criteria
Perks/Benefits
- Flexible working hours
- Global team events
- Gym and fitness access
- Home office
- International work environment
- Mental health platform
- Private supplementary health insurance
- Subsidized meals
Skills/Tech-stack
AI Foundry | APIs | Agent Orchestration | Azure AI | Azure AI Foundry | CI/CD | Cloud Native | Cloud Native Tooling | Containerization | Document ingestion | Embeddings | Fine Tuning | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Lifecycle Management | N8n | Native tooling | Natural Language | Natural Language Processing | Prompt engineering | Prompt lifecycle | Prompt lifecycle management | Python | RAG Pipelines | Retrieval-Augmented Generation | Vector Databases | Vector Search
Education
N/A
Roles
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