Architect AI Data Engineer
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Build GenAI platforms APIs and microservices
- Collaborate on data ingestion pipelines metadata management and knowledge graph strategies
- Define end to end architecture for enterprise GenAI platforms
- Design scalable agentic systems
- Develop RAG pipelines with retrieval evaluation
- Develop evaluation frameworks for prompts and RAG
- Implement LLM guardrails and responsible AI controls
- Implement agentic workflows with tool calling and orchestration
- Integrate GenAI services with enterprise data platforms and business applications
- Lead CI CD deployment pipelines and monitoring with MLOps
- Provide technical leadership and mentorship to engineering teams
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Agent Orchestration | Azure | Azure Databricks | Azure OpenAI | CI/CD | Cognitive Search | Docker | ELT | ETL | Enterprise Search | FastAPI | Flask | GCP | Knowledge graphs | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | LoRA | MLOps | Microservices | Microsoft Fabric | Monitoring | Observability | PEFT | Prompt engineering | Prompt evaluation | PySpark | Python | RAG | SQL | Snowflake | Tool-Calling | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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