Lead GenAI Engineer
Tasks
- Apply guardrails privacy and security
- Build production backend services
- Design evaluation strategies
- Design scalable ML and GenAI systems
- Develop RAG systems
- Develop monitoring and observability
- Implement agentic workflows
- Implement retrieval and answer evaluation
- Integrate LLM APIs
- Lead AI initiatives from idea to production
- Mentor engineers through code reviews
- Orchestrate multi-agent systems
- Shape AI product architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent systems | Anthropic | Apache Spark | Azure | CI/CD | Chunking | Cloud platform | Context Construction | Context engineering | Cost Optimization | Databricks | Django | Docker | Document Retrieval | Embeddings | Evaluation | Experiment tracking | FastAPI | Flask | Google Cloud | Google Cloud Platform | Hallucination Tracking | Haystack | Keras | LLM API | Langchain | Langgraph | Latency optimization | Logging | MLflow | Monitoring | Multi-Agent | Multi-Agent Systems | NoSQL | Observability | OpenAI | Orchestration | Privacy | Prompt engineering | PyTorch | Python | RAG | Relational databases | Reranking | Security | Tool-using agents | Tracing | Vector Search | Vector Stores
Education
N/A
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