AI Developer, SA
Tasks
- Apply responsible AI practices for security explainability compliance and governance
- Build LLM based solutions using orchestration frameworks
- Collaborate with cross-functional teams to deliver end-to-end solutions
- Create reusable AI enablement platforms SDKs and shared services
- Design develop deploy AI powered services including copilots and automation tools
- Develop multi agent systems using APIs
- Embed AI capabilities into investment management workflows
- Ensure performance scalability and reliability of AI systems in production
- Expose AI capabilities through API management layers and event driven architectures
- Implement RAG pipelines using vector databases
- Implement monitoring evaluation and observability for AI models and pipelines
- Integrate AI services with cloud and enterprise systems
- Participate in agile development including sprint planning code reviews and retrospectives
Perks/Benefits
- Employee assistance program
- Employee networks
- Flexible work program
- Paid time off
- Paid volunteer days
- Retirement savings plan with company match
Skills/Tech-stack
AI orchestration | APIs | AWS | Agent systems | Azure | C# | CI/CD | Compliance | Embeddings | Event Streaming | Explainability | GCP | Governance | Hazelcast | Java | Kafka | LLM | MCP | Microservices | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | RAG | Redis | Security | Testing | TypeScript | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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