Senior AI Engineer (All Genders)
Tasks
- Build production-grade AI services in Python
- Create structured outputs and tool calling
- Define API and AI output contracts
- Design LLM powered workflows
- Develop guardrails fallbacks validation and error handling
- Implement prompt design and context management
- Implement safety reliability controls
- Monitor production systems with logs metrics traces
- Optimize systems with model upgrades and prompt iteration
- Own services end to end for reliability
- Test evaluate and improve AI services
- Use AI observability tooling
Perks/Benefits
- 20 percent employee discount
- Bike leasing
- Days off on December 24
- Days off on December 31
- Hybrid work
- Life insurance
- Multicafeteria system
- Multisport card
- Private medical care
- Subsidised transport
- Training and support
- Two extra vacation days
- Wellbeing offers
Skills/Tech-stack
AI Safety | API Design | Amazon Bedrock | Automated Evaluation | Azure OpenAI | Context Management | Deployment | Distributed tracing | Error Handling | Fallbacks | Guardrails | Infrastructure as Code | Jupyter | Language Models | Large Language Models | Learning operations | Logging | Machine Learning | Machine Learning Operations | Metrics | Observability | OpenAI | Performance Testing | Prompt engineering | Python | Streamlit | Structured Output | Testing | Tool-Calling | Validation | “as-code”
Education
N/A
Roles
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