Senior Software Engineer(AI)
Tasks
- Apply MLOps practices
- Build AI agents with tool calling and orchestration
- Build Agentic AI workflows
- Collaborate on solution designs and interface contracts
- Create AI evaluation and testing strategies
- Design GenAI solutions
- Develop CI CD pipelines for models and agents
- Implement AI observability with tracing metrics logs
- Implement AI security and governance
- Participate in code and design reviews
- Perform red teaming and regression testing
- Support incident post-mortems
- Write production code in Python
Perks/Benefits
Skills/Tech-stack
API Development | Access Control | Agent Builder | Alerts | Automated testing | CI/CD | Dashboards | Embeddings | Evaluation | Event Driven | Event-driven architecture | Experimentation | GCP | Infrastructure as Code | Injection Protection | Java | Logging | MLOps | Metrics | Microservices | Observability | Prompt engineering | Prompt injection | Prompt-injection protection | Python | RAG | Red Teaming | Secrets management | Tokenization | Tracing | Transformers | TypeScript | Vector Search | Vertex AI | “as-code”
Education
N/A
Roles
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