Team Lead/Senior Specialist - AI
Tasks
- Architect GenAI systems
- Build RAG pipelines
- Build prompt regression testing
- Collaborate with product and QA on acceptance criteria
- Create evaluation frameworks for AI outputs
- Design agent memory and state management
- Design multi LLM multi agent workflows
- Ensure AI governance for privacy safety compliance
- Implement tool calling and function calling
- Mentor AI engineers and guide technical decisions
- Package AI services for deployment
Perks/Benefits
- N/A
Skills/Tech-stack
Autogen | CI/CD | Cloud Platforms | Cost Optimization | CrewAI | Docker | Embeddings | FastAPI | Fine Tuning | Flask | Function Calling | Hallucination detection | Langgraph | Langsmith | Language Models | Large Language Models | Latency optimization | Logging | MLflow | Microsoft Semantic Kernel | Model selection | Model switching | Monitoring | Observability | Prompt engineering | Python | RAG evaluation | REST APIs | Reranking | Retrieval-Augmented Generation | Schema Validation | Semantic Kernel | Semantic Search | Structured Output | Tool-Calling | Vector Databases | Weights and Biases
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Learning Engineer | Machine Learning Engineer | Tech Lead
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