AI Engineer
Tasks
- Add AI guardrails and safety controls
- Build LLM powered production applications
- Collaborate across product and engineering teams
- Conduct code reviews and secure coding
- Create automated unit and integration tests
- Design database solutions
- Design scalable software applications
- Develop AI agents and agentic workflows
- Develop AI evaluation frameworks
- Develop REST APIs and microservices
- Develop cloud-native services
- Implement AI observability and monitoring
- Implement prompt and context engineering
- Implement rag pipelines
- Integrate LLMs from enterprise AI platforms
- Integrate Model Context Protocol MCP
- Integrate messaging and event streaming
- Participate in technical design and architecture reviews
- Perform troubleshooting and root cause analysis
- Use AI-assisted development tools
- Work in agile Scrum or Kanban teams
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Anthropic Claude | Apache Druid | Apache Kafka | Azure? N/A | BigQuery | CrewAI | Embeddings | End to End | End-to-End Testing | Function Calling | GitHub Copilot | Google ADK | Google Gemini | Integration Testing | Java | LLM | Langchain | Langgraph | Microservices | Model Context Protocol | MongoDB | N A | OpenAI | PostgreSQL | Prompt engineering | RAG | REST API | React | Regression testing | Semantic Kernel | Semantic Search | Spring Boot | Tool-Calling | TypeScript | Unit Testing | Vector Database
Education
N/A
Roles
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