Staff AI Engineer
INR 2040K-3800K (estimate) Senior-level Full Time
Tasks
- Architect RAG pipelines
- Build data ingestion and ETL pipelines
- Build reranking mechanisms
- Conduct code and architecture reviews
- Create proposals for AI ML solutions
- Define AI observability and MLOps standards
- Demonstrate business value to executives
- Design multi-agent systems
- Develop real-time inference pipelines
- Implement ETL ELT in BigQuery
- Implement chunking and hybrid search
- Lead technical workshops
- Orchestrate autonomous agents
- Provide technical mentorship
Perks/Benefits
- Certificate reimbursement
- Health benefits
- Medical insurance
- Professional development
- Remote work option
- Shift allowance
Skills/Tech-stack
AI Observability | AI vector search | Agent Development Kit | Agent systems | Agentic AI | Apache Beam | BigQuery | CCAI | CCaaS integration | Cloud Functions | Cloud Run | Cloud platform | Contact Center AI | Contact center | Data Ingestion | Data Validation | Dialogflow CX | Dialogflow ES | ELT | ETL | Fine Tuning | GKE | Generative AI | Google Agent Development Kit | Google Cloud | Google Cloud Platform | Hybrid search | Keyword search | LLM Fine-tuning | Langchain | Langgraph | Learning operations | MLOps | Machine Learning | Machine Learning Operations | Multi-Agent | Multi-Agent Systems | RAG | Real Time | Real-time Inference | Reranking | Retrieval-Augmented Generation | UJET | Unstructured Data | Unstructured data ingestion | Vector Search | Vertex AI | Vertex AI Vector Search
Education
N/A
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