Principal AI Engineer
Tasks
- Add guardrails and observability
- Apply AI governance
- Build and maintain REST APIs
- Build evaluation harnesses
- Deliver enterprise AI features
- Design AI architecture
- Evaluate build versus buy decisions
- Extend CI CD for AI workloads
- Implement retrieval strategy
- Improve scalability and reliability
- Integrate LLM and agent workflows
- Lead AI adoption in SDLC
- Lead and mentor engineers
- Manage evaluation cost and latency
- Modernize and refactor legacy code
- Monitor prompt and model versioning
- Partner with product and security teams
- Set AI technical direction
- Write .NET Core and React code
Perks/Benefits
- Career growth opportunities
- Collaborative environment
- Learning-focused culture
- Optional In Person Collaboration
- Remote-first flexibility
Skills/Tech-stack
.Net Core | AI Observability | Agent Orchestration | Azure DevOps | Azure OpenAI | Azure SQL | C# | CI/CD | Docker | Entity Framework | Git | Infrastructure as Code | LLM integration | Linux | OAuth | Powershell | Prompt engineering | REST APIs | React | Redis | Retrieval-Augmented Generation | SSO | Semantic Kernel | Tool-Calling | TypeScript | Vector Databases | “as-code”
Education
N/A
Roles
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