Principal Engineer, Data Analytics Engineering
Bengaluru, KA, India
INR 2500K-3900K (estimate) Senior-level Full Time
Tasks
- Architect lakehouse environments
- Architect model gateways for multi LLM access
- Benchmark and evaluate large language models
- Build knowledge artifacts from LLM interactions
- Create retrieval knowledge governance frameworks
- Design agentic workflows for autonomous reasoning
- Design enterprise generative AI solutions
- Develop domain ontologies and taxonomies
- Develop prompt engineering strategies
- Enable semantic search and retrieval using embeddings
- Establish AI governance and knowledge distillation frameworks
- Implement document parsing chunking and vectorization pipelines
- Implement generative AI pipelines
- Implement observability frameworks for generative AI systems
- Implement safe agent execution with policies and constraints
- Implement taxonomy governance and versioning
- Integrate generative AI with enterprise APIs and microservices
- Manage indexing and metadata governance
- Monitor token usage and inference cost
- Optimize model efficiency
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | API | Agent Orchestration | Agentic Workflows | Compliance | Cost Optimization | Data Lakehouse | Embeddings | Generative AI | Knowledge Distillation | Knowledge graph | LLM | Language Model | Large Language Model | Microservices | Model gateway | Observability | Ontology Engineering | Prompt engineering | Python | Retrieval-Augmented Generation | Semantic Search | Taxonomy Engineering | Token optimization | Vector Database
Education
N/A
Roles
AI | AI Architect | Architect | Data Engineer | Engineer | GenAI Solution Architect | Solution Architect
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