Senior AI Engineer
Tasks
- Build knowledge retrieval systems
- Deploy and fine tune open weight models
- Design and develop AI platform services
- Implement AI governance and guardrails
- Implement metadata filtering and semantic routing
- Optimize RAG context window management
- Process unstructured documents and create embeddings
- Prototype and validate LLM solutions with metrics
- Set up AI monitoring and evaluation frameworks
- Set up platform observability for latency cost and usage
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Asyncio | Automated testing | CI/CD | Claude Code | Context window | Context window management | Cost Optimization | Drift monitoring | Embeddings | FastAPI | Generative AI | Git | GraphRAG | Knowledge graphs | LLM | Langgraph | Llamaindex | Metadata filtering | Model Evaluation | Monitoring | Neo4j | Observability | Ollama | PGVector | PII Redaction | Pinecone | Prompt Caching | Prompt filtering | Python | Qdrant | RAG | Re-ranking | Semantic routing | VLLM | Vector Database | Weaviate | Window management
Education
N/A
Roles
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