Senior Gen AI Engineer
Tasks
- Build retrieval-augmented generation pipelines
- Deploy workloads on cloud infrastructure
- Design and operate AI agents for knowledge graphs
- Develop graph ingestion and data enrichment pipelines
- Implement MLOps and evaluation harnesses
- Implement confidence scoring and provenance tracking
- Implement entity resolution and deduplication
- Integrate web scraping and external data sources
- Optimize graph traversal queries for production scale
- Package agents as scalable microservices
- Plan multi step reasoning using LLMs
Perks/Benefits
- Collaborative culture
- Flexible working hours
- Hybrid work
- Remote
- Startup speed work
- Supportive work environment
Skills/Tech-stack
Amazon Neptune | Autogen | CI/CD | CrewAI | Cypher | Docker | Entity Resolution | Few-Shot Learning | Few-shot | GNN | Graph Neural Networks | GraphML | GraphQL | Gremlin | JSON-LD | Java | Kafka | Kinesis | Knowledge graph | Kotlin | Kubernetes | LLM Evaluation | Langchain | Langgraph | Llamaindex | Microservices | Neo4j | Neural Networks | OWL | Observability | PGVector | Pinecone | Playwright | Prompt engineering | Python | RAG | RDF | REST API | SPARQL | Scrapy | Semantic Kernel | TigerGraph | Vector Search | Weaviate | Web Scraping
Education
Roles
AI Engineer | Engineer | Gen AI Engineer | GenAI Engineer | Senior GenAI Engineer
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