Senior Agentic AI Engineer
IND - Bangalore, India
INR 3000K-5000K (estimate) Senior-level Full Time
Tasks
- Create retrieval testing and benchmarking approaches
- Decompose business problems into data science problem statements
- Define data access guardrails permissions privacy and sensitivity
- Define retrieval strategies for enterprise data sources
- Design RAG patterns for agent workflows
- Develop context selection ranking and filtering methods
- Develop end to end modeling and retrieval solutions
- Enable secure access to approved knowledge sources
- Evaluate retrieval performance relevance latency and answer fidelity
- Integrate retrieval systems with orchestration frameworks APIs and AI platform components
Perks/Benefits
Skills/Tech-stack
Chunking | Classification | Embeddings | Entity recognition | Evaluation | Hybrid retrieval | JSON | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | Machine Learning | Metadata filtering | Milvus | Named Entity Recognition | Natural Language | Natural Language Processing | Observability | OpenAI | Pinecone | Python | Query rewriting | Regression | Reranking | Retrieval-Augmented Generation | Semantic Kernel | Text Summarization | Tokenization | Tracing | Unsupervised Learning | Vector Search | Weaviate | YAML
Education
N/A
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