Principal AI Engineer
Tasks
- Build RAG and GraphRAG systems
- Build secure scalable cloud services
- Create MCP servers and tools
- Deploy production AI ML integrations
- Design and build GenAI features
- Design data retrieval and vector infrastructure
- Develop AI agents and agent tooling
- Evaluate and test AI features
- Implement LLM orchestration and guardrails
- Improve engineering standards and observability
- Lead AI technical design and quality
- Mentor engineers on AI/ML best practices
Perks/Benefits
- N/A
Skills/Tech-stack
.Net Core | API Design | AWS | Application Security | Autogen | Azure | C# | CI/CD | Context engineering | CrewAI | Design Patterns | Docker | Domain-Driven Design | GitHub Actions | GitLab CI | GraphRAG | Guardrails | Infrastructure as Code | Java | LLM | Langchain | Llamaindex | MCP | Machine Learning | NoSQL | Observability | Prompt engineering | Python | RAG | SQL | Serverless | Terraform | Test-Driven | Test-Driven Development | TypeScript | “as-code”
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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