Applied AI Engineer - Finance Super App
Tasks
- Build AI powered workflows and assistants
- Create AI evaluation monitoring and fallback strategies
- Deploy AI solutions to production environments
- Develop AI agents and automation systems
- Implement RAG solutions
- Integrate LLMs with data sources APIs and knowledge bases
- Optimize accuracy latency cost privacy and reliability
- Prototype validate and productionize AI systems
Perks/Benefits
- Career growth opportunities
- Global team collaboration
- High ownership and autonomy
- Remote work opportunity
Skills/Tech-stack
AI Agents | APIs | Data Privacy | Databases | Evaluation | Fintech | LLM APIs | Language Models | Large Language Models | Monitoring | Python | RAG | Retrieval-Augmented Generation | Vector Search | Workflow automation
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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