Senior Applied AI Engineer
Tasks
- Architect agent reasoning systems planning memory tool use recovery
- Build evaluation frameworks for reasoning accuracy and audit correctness
- Build production grade pipelines for structured and unstructured financial data
- Debug multi step agent failures in production systems
- Design and build autonomous AI agent systems for financial audit workflows
- Design feedback loops to improve agent performance
- Develop distributed systems for enterprise dataset processing
- Develop document intelligence systems for PDFs and Excel
- Improve agent reliability in high stakes decision environments
- Optimize system performance across latency cost and reliability
- Own end to end architecture decisions across backend and AI systems
- Translate frontier AI research into production grade enterprise systems
Perks/Benefits
- Direct founder level technical exposure
- Full visa sponsorship
- High ownership
- High-impact work
- Remote work
Skills/Tech-stack
AI Agents | Backend Development | Cost Optimization | Data Processing | Distributed Systems | Document processing | Evaluation | Excel | LLM Applications | Language Models | Large Language Models | Latency optimization | Machine Learning | Memory systems | Monitoring | PDF Processing | Planning | Python | Recovery systems | Reliability Engineering | Tool use | TypeScript
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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