You will lead the engineering team by balancing hands-on coding with process management and team coordination. You act as the primary interface between the engineering team and management to translate business requirements into technical plans.
You will design and develop scalable AI agent systems, including multi-step reasoning and decision pipelines for logistics processes. Additionally, you will build and improve LLM-based systems while ensuring reliability through evaluation, monitoring, and observability frameworks.
You will design and develop scalable AI-agent systems and take ownership of the technical architecture for CERA AI. You will also be responsible for the reliability, evaluation, and continuous improvement of LLM-based processes.
Responsible for the technical development and scaling of CERA AI, an agent automating logistics processes. This includes designing scalable AI agent systems, managing LLM orchestration, and ensuring the reliability and quality of AI outputs.
The role involves taking ownership of the AI architecture to design and scale AI agent systems for automating logistics processes. Responsibilities include developing LLM systems, ensuring output reliability through monitoring and guardrails, and collaborating with business teams to drive revenue impact.
