Software Engineer (AI Engineer)
Tasks
- Build production APIs for AI capabilities
- Debug non deterministic AI issues
- Deploy and optimize systems in production
- Design agentic workflows
- Ensure code quality with testing and code reviews
- Implement data serving layers for real time enterprise data
- Implement multi turn stateful orchestration
- Integrate interoperability protocols
- Manage AI context and prompts
- Measure system performance metrics
- Monitor observability with tracing
- Optimize user success rate and hallucination rate
- Secure transactional layers
Perks/Benefits
- Cafeteria benefits plan
- English classes
- Ergonomic office equipment
- Flexible working hours
- Hackathon teams
- Hackathons
- Health and sports packages
- Hybrid work model
- Insurance packages
- Modern hardware
- Remote work days
- Social events
- Training budget
- Volunteering day off
Skills/Tech-stack
CI/CD | Containerization | Distributed Systems | Docker | Google Cloud | Knowledge graphs | Kubernetes | LLM orchestration | Langfuse | Language Models | Large Language Models | MCP | Microservices | Observability | Prompt engineering | Python | REST | RESTful APIs | Tracing | Vector Databases | Vertex AI | Vertex AI or LLM Orchestration
Education
N/A
Roles
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