AI Engineer (H/F/NB)
Tasks
- Architect multi step agents with tools memory and decision making
- Build vector database solutions for retrieval
- Design and deploy agentic AI systems end to end
- Develop LLM output evaluation and testing frameworks
- Document AI agents architectures and KPIs
- Enable internal teams through technical documentation and training
- Implement RAG and LLM evaluation
- Integrate AI solutions into client system architectures using APIs and connectors
- Iterate using real usage feedback metrics and pilots
- Optimize AI model costs tokens and inference with FinOps
Perks/Benefits
Skills/Tech-stack
APIs | Anthropic API | BigQuery | CRM | Chroma | CrewAI | Data Modeling | Databricks | Databricks SQL | ERP | Evaluation Frameworks | FinOps | Function Calling | Gemini API | Google Gemini | Google Gemini API | Guardrails | Java | LLM | Langchain | Langgraph | Llamaindex | Make | Milvus | Mistral API | Model Tiering | N8n | Node.js | OpenAI API | PGVector | Pinecone | Prompt Optimization | Python | RAG | SDKs | SQL | Semantic Caching | Snowflake | Tool use | TypeScript | Vector Databases | Webhooks
Education
N/A
Roles
AI | AI Engineer | Engineer
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