AI Engineer
Tasks
- Build agentic workflows and knowledge systems
- Build assistants and copilots
- Create AI evaluation frameworks
- Design AI-powered product features
- Develop backend services
- Implement RAG and semantic search
- Implement observability for AI solutions
- Improve production readiness
- Integrate LLM providers and tools
- Monitor AI quality latency cost reliability security
Perks/Benefits
- Career growth
- Continuous learning
- Employee wellbeing initiatives
- Flexible work arrangements
- Mentorship
Skills/Tech-stack
.NET | API Design | Agent architecture | C# | CI/CD | Distributed Systems | Docker | Embeddings | Function Calling | Kubernetes | LLM | MCP | Observability | Prompt engineering | RAG | Responsible AI | SQL | Semantic Search | Structured outputs | Vector Search
Education
N/A
Roles
AI | AI Engineer | AI Software Engineer | Engineer | Software Engineer
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