GenAI Developer
Tasks
- Align technical and non technical audiences
- Build agentic AI solutions
- Design RAG systems end to end
- Design multi-agent orchestration
- Develop lightweight AI front end interfaces
- Ensure security and observability
- Evaluate retrieval quality
- Implement answer generation pipelines
- Implement retrieval pipelines
- Ingest documents and data sources
- Manage stakeholders
- Run requirements workshops
- Ship production AI systems
Perks/Benefits
- Annual gatherings
- Flexible hours
- Free breakfast soda and snacks
- Free choice of tools and tech
- Hybrid work
- Pension
- Private medical insurance
- Wellness allowance
Skills/Tech-stack
AI Services | Agent Orchestration | Autogen | Azure | Azure AI | Azure AI Services | Azure OpenAI | Clean Code | Containerization | CrewAI | Embedding Models | Hybrid retrieval | Langchain | Llamaindex | MLOps | Memory Management | Multi-Agent | Multi-agent orchestration | Python | RAG | React | Reranking | Retrieval evaluation | Retrieval-Augmented Generation | Streamlit | System design | Testing | Tool use | Vector Search | Version control
Education
N/A
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