Lead AI Engineer
Tasks
- Automate intelligent workflows
- Build RAG pipelines
- Create APIs and integrations
- Define AI evaluation frameworks
- Design AI GenAI applications
- Develop backend services
- Develop reusable AI components and frameworks
- Ensure code quality security reliability observability governance
- Implement AI knowledge assistants
- Integrate enterprise systems
- Measure AI accuracy latency performance
- Optimize performance scalability reliability cost
- Orchestrate LLM workflows
- Prototype and deploy production ready AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | AI Governance | API | Agentic AI | Data Engineering | Data Pipelines | Embeddings | Event Driven | Event-driven architecture | LLM | Observability | Performance optimization | Prompt engineering | Python | RAG | SQL | SQL querying | Scalability | Security | Semantic Search | System Integration | Vector Database | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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