Peakflo

The engineer will own the intersection of cloud infrastructure and AI systems, focusing on LLMOps, RAG performance, and production monitoring for finance agents. Responsibilities include managing vector databases, scaling orchestration frameworks, and ensuring zero-downtime model deployments.

The role involves analyzing business processes and data quality issues to identify improvements, designing scalable solutions, and automating workflows, data transformations, and reporting using Python and SQL. Responsibilities also include building monitoring frameworks, conducting root cause analysis, and documenting solutions for stakeholders.

The Customer Success Manager will monitor projects to ensure scope, budget, and schedule adherence while delivering committed customer ROI, aligning with processes for 100% quality delivery and documentation. Responsibilities also include managing implementation stages, conducting testing, troubleshooting post-hypercare issues, and actively participating in the customer renewal journey.

The intern will be responsible for crafting voice-optimized prompt flows, implementing agentic architecture with hierarchical workflows for finance AI agents, and continuously refining prompts using feedback loops and A/B testing. Key tasks also involve integrating Retrieval-Augmented Generation (RAG) for grounding, optimizing LLM system performance, and collaborating on voice integration with speech recognition and telephony APIs.

The role involves crafting voice-optimized prompt flows, continuously refining LLM outputs using feedback loops, and integrating these prompts with speech recognition and telephony infrastructure. Responsibilities also include developing hierarchical finance AI agent workflows, optimizing LLM performance, and integrating Retrieval-Augmented Generation (RAG) for grounding.