Senior AI Engineer
CHF 126K-188K (estimate) Senior-level Full Time
Tasks
- Build and operate LLM microservices
- Build single and multi agent production systems
- Deploy applications on AWS
- Design agentic systems
- Develop APIs
- Develop MCP servers
- Develop agentic workflows
- Evaluate and adopt new LLM advancements
- Implement prompt engineering
- Implement secure schemas and role based permissions
- Implement testing evaluation monitoring observability
- Implement tool use and multi agent coordination
- Integrate LLM powered services
Perks/Benefits
- Charity donation matching
- Flexible working hours
- Health and fitness subsidy
- Health insurance
- Hybrid work
- Paid training
- Volunteering days
- Work abroad up to 4 weeks per year
Skills/Tech-stack
AWS | Bedrock | Bedrock AgentCore | Databricks | FastAPI | FastMCP | Fine Tuning | GRPC | Kubernetes | Langchain | Langfuse | Langgraph | Langsmith | MCP | Microservices | Offline evaluation | Online evaluation | OpenTelemetry | Postgres | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQLAlchemy | Snowflake | Structured Logging | Vector Databases
Education
Bachelor of Engineering | Master of Engineering | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Senior AI Engineer
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