Senior Data Engineer (Agentic Retrieval & Memory)
Apptad Inc
Role: Senior Data Engineer (Agentic Retrieval & Memory)
Location: Oaks, PA
Parameter/Key Skills
- Overall Data Engineering Experience (5+ Years)
- Data Modeling & Storage Design
- Query Optimization & Performance Tuning
- Understanding of Operational Characteristics of Data Stores
- Agentic AI / LLM Data Engineering Experience (3+ Years)
- Session & Conversation State Management
- Short-Term & Long-Term Memory Design
- Memory Summarization & Compaction Strategies
- Memory Expiry, Retention & Lifecycle Management
- User & Thread Isolation in Agent Memory Systems
- Vector Search & Semantic Retrieval Experience
- Azure AI Search / pgvector / Elasticsearch Expertise
- Hybrid Search Implementation
- Relevance Tuning & Ranking Optimization
- Vector Index Design & Management
- NoSQL / Document Database Design
- High-Write, Low-Latency Data Architecture
- Partitioning & Sharding Strategy
- TTL, Retention & Data Lifecycle Management
- Conversational Data Modeling
- Redis / In-Memory Cache Experience
- Cache Design & Expiry Strategy
- Durable Storage vs Cache Trade-Off Understanding
- Retrieval-Augmented Generation (RAG) Knowledge
- Chunking & Embedding Strategy
- Retrieval Quality Optimization
- Model Selection Impact on Retrieval Quality & Cost
- Python Development (Production Grade)
- API / Library Development for Reuse
- Cloud Data Services Experience
- Identity & Access Management for Data Stores
- Private Networking & Secure Data Connectivity
- Retrieval & Memory Quality Evaluation
- Groundedness, Relevance & Evaluation Metrics
- Troubleshooting & Root Cause Analysis
- Communication & Technical Articulation
Vacancy posted 1 day ago
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