Senior Agentic AI Engineer
Bengaluru, Karnataka
INR 3799K-5449K (estimate) Senior-level Full Time
Tasks
- Create testing and benchmarking for retrieval and agent outcomes
- Decompose business problems into data science statements
- Define guardrails for permissions privacy and data access
- Define retrieval strategies for enterprise content and data sources
- Design retrieval augmented generation patterns for agent workflows
- Develop context selection ranking filtering and summarization methods
- Develop end to end models and retrieval strategies
- Enable secure access to approved knowledge sources
- Ensure compliant and auditable enterprise data usage
- Evaluate retrieval performance relevance latency and answer fidelity
- Integrate retrieval systems with orchestration frameworks and APIs
Perks/Benefits
Skills/Tech-stack
Chunking | Classification | Embeddings | Entity Extraction | Entity recognition | Evaluation | Grounding | Hybrid retrieval | Imbalanced Data | JSON | Language Models | Language Processing | Large Language Models | Learning evaluation | Machine Learning | Machine learning evaluation | Metadata filtering | Multiclass Classification | Named Entity Extraction | Named Entity Recognition | Natural Language | Natural Language Processing | Observability | Prompt engineering | Python | Query rewriting | Regression | Reranking | Retrieval-Augmented Generation | Summarization | Tokenization | Tracing | Vector Databases | Vector Search | YAML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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