AI Engineer (H/F/NB)
Tasks
- Architect multi step agent workflows
- Build vector database powered applications
- Create and maintain technical documentation
- Design and deploy generative AI systems
- Develop API and SDK integrations for model providers
- Enable internal teams through technical mentoring
- Implement RAG and LLM evaluation
- Integrate AI agents into client information systems
- Iterate solutions using production feedback and metrics
- Manage LLM costs and inference efficiency
- Orchestrate tools memory and decision making
- Set up LLM testing and guardrails frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
APIs and SDKs | Agent Orchestration | Anthropic API | BigQuery | CRM Integration | Chroma | Code Automation | CrewAI | Data Modeling | Databricks | ERP integration | FinOps | Function Calling | Gemini API | Google Gemini | Google Gemini API | Guardrails | Java | LLM Evaluation | LLM Testing | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | Low Code | Low Code Automation | Machine Learning | Make | Milvus | Mistral API | Model Tiering | N8n | Node.js | OpenAI API | PGVector | Pinecone | Prompt Optimization | Prompt engineering | Python | RAG | REST APIs | SQL | Semantic Caching | Snowflake | Tool use | TypeScript | Vector Databases | Webhooks
Education
N/A
Roles
AI | AI Engineer | Engineer
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