Principal AI Engineer
Tasks
- Apply deterministic guardrails and prompt injection defenses
- Build and maintain AI infrastructure for brokerage environment
- Collaborate with software data engineering product and cybersecurity teams
- Design scalable REST and gRPC APIs
- Design stateful multi agent systems
- Ensure AI actions are auditable and verifiable
- Fine tune AI models for low latency financial contexts
- Implement autonomous digital investment assistant workflows
- Implement cloud native architecture components
- Implement real time automated audit frameworks
- Integrate LLM orchestration layers with microservices
- Manage vector embeddings of market data
- Optimize model throughput and latency
Perks/Benefits
- Career growth and development opportunities
- Community involvement opportunities
- Health and wellbeing programs
- Hybrid work
- Paid sick days
- Paid vacation
Skills/Tech-stack
.Net Core | BigQuery | C# | C++ | Cloud SQL | CrewAI | Docker | Domain-Driven Design | Event Driven | Event-driven architecture | FastAPI | GRPC | Google Cloud | Google Cloud SQL | Google Pubsub | Kafka | Kubernetes | Langgraph | LoRA | Model Context Protocol | MongoDB | Node.js | Pytest | Python | QLoRA | RAG | REST | Redis | Semantic Kernel | Terraform | TypeScript | Vector Databases
Education
Roles
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