Lead AI Engineer
Tasks
- Build APIs and integrations
- Build RAG pipelines
- Collaborate with business IT security data and finance teams
- Create knowledge assistants
- Define AI evaluation frameworks
- Design AI/GenAI solutions
- Develop backend services
- Develop reusable AI components and frameworks
- Develop workflow automation
- Ensure code quality security reliability observability
- Measure AI quality accuracy latency
- Optimize AI for performance scalability reliability cost
- Orchestrate LLM pipelines
- Prototype and deploy production ready solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Evaluation | AI Governance | Backend Development | Data Engineering | Data Pipelines | Embeddings | Event Driven | Event-driven architecture | LLM | Observability | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Semantic Search | System Integration | Tool use | Vector Databases | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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