Staff Artificial Intelligence & Machine Learning Engineer
Bengaluru, KA, India
INR 2500K-4500K (estimate) Senior-level Full Time
Tasks
- Architect and maintain lakehouse environments
- Architect model gateways for multi LLM access
- Benchmark and evaluate LLM performance
- Build and maintain domain ontologies and taxonomies
- Capture normalize LLM interactions as knowledge artifacts
- Design GenAI workflows for enterprise use cases
- Design agentic orchestration workflows
- Develop prompt engineering strategies
- Enable semantic search with embeddings and vector databases
- Enforce safe controlled agentic execution with constraints and policies
- Ensure compliance and normalization of LLM outputs as enterprise knowledge
- Establish taxonomy governance and versioning
- Implement LLM optimization feedback loops
- Implement autonomous task execution agents
- Implement document parsing chunking and vectorization pipelines
- Implement observability for performance latency and drift
- Implement semantic registries and knowledge harvesting
- Integrate GenAI systems into enterprise applications via APIs
- Maintain knowledge stores indexing and metadata governance
- Maintain usage analytics dashboards
- Monitor and optimize token usage inference cost and model efficiency
- Perform build vs buy cost benefit decisions
- Select models based on accuracy cost tradeoffs
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agentic Workflows | Chunking | Compliance | Cost Optimization | Data Pipelines | Document parsing | Embeddings | Inference Cost | Inference cost optimization | Knowledge Distillation | Knowledge Management | Knowledge graph | LLM Governance | Lakehouse | Language Models | Large Language Models | Microservices | Model gateway | Multi-LLM | Observability | Ontology Engineering | Orchestration | Performance Monitoring | Prompt engineering | Python | Semantic Search | Taxonomy Engineering | Token optimization | Vector Databases | Vectorization | Workflow Engines
Education
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