AI engineer (H/F/NB)
Tasks
- Architect multi step agents with tools and memory
- Design and deploy agentic AI systems end to end
- Document AI agents with scope capabilities limits and KPIs
- Implement RAG and evaluate LLM performance
- Integrate AI solutions with client APIs CRM ERP webhooks and connectors
- Iterate AI solutions using real usage feedback metrics
- Optimize model cost for FinOps and inference efficiency
- Orchestrate LLM workflows for production systems
- Train and enable internal teams on AI operations
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Anthropic API | BigQuery | CRM | Chroma | CrewAI | Data Modeling | Databricks | Dust) | ERP | FinOps | Function Calling | Gemini API | Google Gemini | Google Gemini API | Java | LLM Evaluation | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Make | Milvus | Mistral API | Model Tiering | N8n | Node.js | OpenAI API | PGVector | Pinecone | Prompt Optimization | Prompt engineering | Python | RAG | SDKs | SQL | Semantic Caching | Snowflake | Tool use | TypeScript | Vector Databases | Webhooks
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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