RebelDot

AI Engineer

• Understanding client needs and helping shape practical AI solutions.
• Designing and delivering agentic RAG systems that are reliable and production-ready.
• Building integrations between agents, tools, and external systems, including through MCP where relevant.
• Owning AI/ML components from prototyping through deployment, monitoring, and iteration.
• Applying evaluation approaches for retrieval, generation, and agent behavior.
• Contributing to good engineering practices around reproducibility, observability, scalability, and reliability.
• Working closely with product, platform, and infrastructure teams.
• Troubleshooting production issues and improving system reliability over time.
• Supporting the team through code reviews, pair programming, and shared learning.
• Staying close to industry developments and applying what is useful in practice.

GenAI Engineer