Principal AI Engineer
Tasks
- Build and maintain AI deployment infrastructure for brokerage environment
- Build autonomous digital investment assistant workflows
- Collaborate with software data and product teams
- Communicate complex technical concepts to non-technical partners
- Design and implement stateful multi agent systems
- Design scalable REST and gRPC APIs
- Ensure AI actions are auditable and compliant
- Fine tune AI models for low latency financial use cases
- Implement deterministic AI guardrails and prompt injection defenses
- Implement real time automated audit frameworks
- Integrate LLM orchestration layers with microservices
- Manage vector embeddings of market data
- Optimize models for throughput and latency
Perks/Benefits
- Career growth and development
- Community volunteering opportunities
- Health & wellbeing resources
- Hybrid work model
- Paid sick days
- Paid vacation
Skills/Tech-stack
BigQuery | C++ | Cloud SQL | CrewAI | Csharp | Docker | Domain-Driven Design | FastAPI | GRPC | Google Cloud | Google Cloud SQL | Google Pubsub | Kafka | Kubernetes | Langgraph | LoRA | Model Context Protocol | MongoDB | NET | Node.js | Pytest | Python | QLoRA | RAG | REST | Redis | Semantic Kernel | Terraform | TypeScript | Vector Databases
Education
N/A
Roles
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