AI Engineer
Tasks
- Apply observability for AI solutions
- Build agentic workflows and knowledge systems
- Build assistants and copilots
- Create AI evaluation frameworks and quality gates
- Design and implement AI-powered product features
- Develop backend services
- Implement CI/CD, testing, and deployment pipelines
- Implement RAG and semantic search capabilities
- Integrate LLM providers and tools
- Monitor and improve quality latency cost reliability and security
- Use Docker and Kubernetes for production support
Perks/Benefits
Skills/Tech-stack
.NET | API Design | C# | CI/CD | Distributed Systems | Docker | Embeddings | Function Calling | Kubernetes | LLM | Logging | Microservices | Monitoring | Observability | Prompt engineering | RAG | Responsible AI | SQL | Security | Semantic Search | Structured Output | Vector Search
Education
N/A
Roles
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