AI Engineer
Tasks
- Automate AI testing
- Build AI systems
- Build vector databases
- Create CI/CD pipelines
- Deploy scalable microservices
- Design RAG pipelines
- Develop production secure AI services
- Ensure SOC 2 compliance
- Implement policy as code governance
- Implement synthetic red teaming
- Integrate LLM APIs
- Manage document embeddings
- Mitigate hallucinations
- Modernize legacy .NET systems
Perks/Benefits
- N/A
Skills/Tech-stack
ASP.NET MVC | AWS | Anthropic | Azure | C# | CI/CD | Cloud platform | Docker | Faiss | Git | Google Cloud | Google Cloud Platform | Google Gemini | JavaScript | Kubernetes | LLM APIs | Langsmith | MLOps | MS SQL | Microservices | OpenAI | Pinecone | Policy-as-Code | Prompt engineering | Python | RAG | REST APIs | SOC 2 | Server-Sent Events | Token tracking | TypeScript | Unit Testing | Vector Databases | Weaviate | WebSockets | “as-code”
Education
N/A
Roles
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