AI Software Engineer II (R-18544)
Tasks
- Apply prompt engineering and evaluation
- Build RAG pipelines
- Contribute reusable architectural patterns
- Design secure scalable AI systems
- Develop LLM-based applications
- Develop microservices and APIs
- Ensure responsible AI compliance
- Implement agentic workflows
- Implement system guardrails
- Integrate AI capabilities into production systems
- Mentor junior engineers
- Optimize model performance and reliability
- Set up infrastructure on GCP Vertex AI
- Train and deploy agentic models at scale
Perks/Benefits
- Educational assistance program
- Employee Health Insurance
- Family-friendly leave
- Flexible working (hybrid model)
- Life assurance
- Life-Style Account
- Mental health support program
- Pension contribution
Skills/Tech-stack
Agentic Workflows | CI/CD | Container Orchestration | Debugging | FastAPI | GCP | GKE | GitHub Actions | GraphRAG | Harness | Knowledge Retrieval | Knowledge graphs | Kubernetes | LLM | Langchain | Langgraph | Langsmith | Microservices | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | Secure Systems | Semantic enrichment | TensorFlow | Terraform | Testing | Vertex AI
Education
Roles
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