Software Engineer (AI Engineer)
Tasks
- Build data serving layers for AI agents
- Build production grade AI APIs
- Conduct code reviews
- Design agentic multi turn workflows
- Implement full stack observability
- Implement stateful workflow orchestration
- Integrate interoperability standards
- Maintain code quality through testing
- Manage real time context data
- Measure system performance metrics
- Monitor and debug non deterministic AI systems
- Optimize hallucination rate
- Optimize user success rate
- Propose improvements using new generative AI techniques
- Secure transactional layers
Perks/Benefits
- Cafeteria benefits
- Flexible working hours
- Hackathons
- Hybrid work model
- Remote work days
- Training budget
Skills/Tech-stack
Agent Orchestration | CI/CD | Containerization | Deep learning | Distributed Systems | Docker | GitHub Actions | Google Cloud | Knowledge graphs | Kubernetes | Langfuse | Language Models | Large Language Models | Machine Learning | Microservices | Multi turn Agents | Observability | Prompt engineering | Python | REST APIs | Stateful workflows | Tracing | Vector Databases | Vertex AI
Education
N/A
Roles
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