Senior AI Engineer - Agentic Workflows
Tasks
- Build reusable skills tools and agents
- Collaborate with data scientists, engineers, and product teams
- Compose maintainable and testable agent workflows
- Define and implement offline and online evaluation strategies
- Design agentic workflows and problem decomposition
- Implement logging tracing and monitoring for agentic systems
- Implement typed data schemas for structured outputs
- Integrate and operate multiple LLM providers
- Optimize prompts token usage chunking and inference efficiency
- Provide mentorship code review and technical guidance
- Set up datasets metrics guardrails and regression monitoring
- Use AI assistants for prototyping refactoring testing and documentation
Perks/Benefits
- Collective life retirement plan
- Employee discounts
- Flexible working model
- Functional diversity benefits
- Health insurance
- Home office monthly allowance
- Home office setup allowance
- Internal and external training
- Life and accident insurance
- Mortgage benefits
- Option to work abroad
- Stock options
- Ticket restaurant
Skills/Tech-stack
Asyncio | Azure | Concurrent programming | Cost Optimization | Data Modeling | Knowledge graphs | LLM Evaluation | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Logging | Monitoring | Observability | Prompt engineering | Pydantic | Python | RAG | Semantic data | Semantic data modeling | Structured Output | Token Accounting | Tracing | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Agentic AI Engineer | Engineer | Senior AI Engineer
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