[Growth Engineering] Staff Back-end Engineer I
Tasks
- Accelerate software development with AI workflows
- Architect retrieval augmented generation loops
- Automate anomaly detection
- Automate code generation
- Automate testing workflows
- Build Agentic RAG systems
- Build CI/CD pipelines
- Build low latency data infrastructure
- Create LLM evaluation benchmarks
- Design LLM powered analytics systems
- Design hybrid storage with vector embeddings and knowledge graphs
- Enable semantic search and multi hop reasoning
- Establish responsible AI governance
- Generate proactive business insights
- Implement AI safety guardrails
- Implement Text-to-SQL
- Implement text to API
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Containerization | FastAPI | Graph Database | Inference Server | Knowledge graph | LLM Evaluation | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Natural Language | Natural Language Processing | Observability | Python | Retrieval-Augmented Generation | Text-to-SQL | Triton Inference | Triton Inference Server | Vector Database | Vector embeddings
Education
N/A
Roles
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