Senior AI Software Engineer
Tasks
- Build AI agents and agentic workflows
- Collaborate with stakeholders to translate requirements into AI components
- Conduct code reviews and incident post mortems
- Contribute to solution design and interface contracts
- Create infrastructure as code for AI systems
- Define and run AI testing and evaluation strategies
- Design and implement genai solutions
- Implement ci cd pipelines for models prompts and agents
- Implement observability with tracing metrics and logs
- Implement security privacy and governance controls
- Perform red teaming and regression testing
- Write production code in Python
Perks/Benefits
Skills/Tech-stack
API Development | Access Control | Agent Builder | Automated testing | CI/CD | Embeddings | Event Driven | Event-driven architecture | GCP | GenAI | Human-in-the-loop | Infrastructure as Code | Java | LLM | Logging | MLOps | Metrics | Microservices | Observability | Offline evaluation | Online evaluation | Orchestration | Prompt engineering | Python | RAG | Red Teaming | Secrets management | The Loop | Tool-Calling | Tracing | Transformers | TypeScript | Vector Search | Vertex AI | “as-code”
Education
N/A
Roles
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