Principal AI/ML Engineer
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Build evaluation harnesses golden sets and scenario tests
- Build multi tenant and hub and spoke API patterns
- Codify privacy PII handling and data residency controls
- Create prompt libraries tool catalogs and agent templates
- Define reference architectures for GenAI RAG and agent ecosystems
- Design and scale LLM powered GenAI systems
- Develop orchestration pipelines for ingestion indexing and services
- Establish model selection and RAG generation standards
- Implement responsible AI guardrails and audit logs
- Improve observability drift detection and cost monitoring
- Lead production implementation on Google Cloud
- Lead security reviews and policy as code
- Run architecture reviews and production readiness assessments
- Standardize LLMOps with CI CD traceability rollback and canaries
Perks/Benefits
- N/A
Skills/Tech-stack
Adapter methods | Agent systems | Agentic AI | Apigee | BigQuery | CI/CD | Circuit Breakers | Cloud Run | Cloud Workflows | Composer | DLP | Dagger or ADRs | Data Catalog | Dataflow | Disaster Recovery | Document AI | Evaluation | Fine Tuning | Grounding | High Availability | IAM | IAP | LLMOps | MLOps | Multi-Agent | Multi-Agent Systems | Observability | Okta | Private Service Connect | Prompt engineering | Pub/Sub | Python | RAG | Retrieval-Augmented Generation | SLAs | SLOs | Secret Manager | Service Connect | Service Controls | Terraform | TypeScript | VPC Service Controls | Vector Databases | Vector Search | Vertex AI | Vertex Vector Search
Education
N/A
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