AI Engineer (H/F/NB)
Tasks
- Architect multi step agents with tools memory and decision making
- Design and deploy agentic AI systems end to end
- Document agent and integration architectures with KPIs
- Enable and train internal teams
- Implement RAG and LLM evaluation
- Integrate AI into client information systems using APIs and connectors
- Iterate based on production usage metrics
- Manage LLM inference cost FinOps and tokens
Perks/Benefits
- Career growth
- International projects
- Technical documentation support
- Training and upskilling opportunities
Skills/Tech-stack
API Integration | Anthropic API | BigQuery | CRM Integration | Cache optimization | Chroma | CrewAI | Data Modeling | Databricks | Dust) | ERP integration | FinOps | Function Calling | Gemini API | Google Gemini | Google Gemini API | Guardrails | Java | LLM Evaluation | Langchain | Langgraph | Llamaindex | Make | Milvus | Mistral API | Model Tiering | N8n | Node.js | OpenAI API | PGVector | Pinecone | Prompt Optimization | Python | Retrieval-Augmented Generation | SQL | Snowflake | Tool use | TypeScript | Vector Databases | Webhooks
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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