AI & Data Engineer d/w/m
Tasks
- Build AI agents and multi-agent workflows
- Create AI agent evaluation monitoring quality mechanisms
- Develop and operate data pipelines
- Develop data products and integrations
- Develop reusable components agent templates and reference implementations
- Implement MCP integrations
- Implement agent guardrails tracing and observability
- Implement model and agent evaluation guardrails tracing and CI CD automation
- Implement retrieval-augmented generation
- Implement tool integrations and memory concepts
- Optimize model routing and caching strategies
- Select model sizes for performance and efficiency
- Set up CI CD processes for agent deployment
Perks/Benefits
- Digital onboarding process
- EV charging stations
- Flexible working arrangements
- Free parking
- Health Center Access
- Modern office spaces
Skills/Tech-stack
AWS | AgentOps | Apache Spark | Azure | CI/CD | Caching | Copilot Studio | Data Engineering | DataOps | Databricks | Guardrails | Infrastructure as Code | LLMOps | Lakehouse | Langchain | Langgraph | Llamaindex | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Model routing | Monitoring | Observability | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | SQL | Tracing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Data Engineer | Engineer
Regions
Countries
States
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