LLM Team Lead
Tasks
- Architect and deliver production LLM based applications
- Define quality metrics regression tests and golden datasets
- Design LLM workflows using RAG and tool calling
- Drive continuous improvement in delivery quality and engineering practices
- Ensure scalability performance reliability security and maintainability
- Establish evaluation driven development for LLM features
- Implement structured outputs and agent workflows
- Lead cross-functional team of engineers and data scientists
- Manage priorities scope risks and trade offs
- Own end to end delivery from experimentation to deployment
- Partner with product design DevOps data engineering and security leaders
- Provide technical guidance, mentorship, and career development
- Set observability standards and production feedback loops
- Translate product goals into technical roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agents | CI/CD | Cloud Native | Distributed Systems | Docker | Document processing | Embeddings | GCP | Hybrid search | JavaScript | Kubernetes | LLM Evaluation | Language Models | Large Language Models | MLOps | Machine Learning | NoSQL | Observability | Performance Tuning | Prompt engineering | Prompt versioning | Python | RAG | Regression testing | Reliability | Reranking | Retrieval evaluation | SQL | Scalability | Security | Structured outputs | Tool-Calling | TypeScript | Vector Search | Workflow Orchestration
Education
N/A
Roles
Regions
Countries
States
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