Staff Software Engineer

About This Role

This role is for a Staff Software Engineer to architect and build the core intelligence behind Harmonic's discovery platform, focusing on data ingestion, ranking, personalization, and model orchestration. The engineer will lead agentic experimentation and evaluation, define scalable frameworks for LLM-driven evaluation, and shape AI-native product experiences to transform venture capital workflows.

Responsibilities

• Architect the core intelligence behind Scout
• Own the end-to-end architecture of the sourcing engine from data ingestion, ranking, personalization, and model orchestration
• Define scalable frameworks for retrieval, reranking, and LLM-driven evaluation to deliver highly personalized and high-quality results
• Create architectural patterns that integrate Scout seamlessly with existing products to power repeatable sourcing workflows
• Lead agentic experimentation and evaluation
• Drive technical discovery for emerging technologies (e.g., memory systems, schema, prompt libraries, embedding models, and agentic frameworks)
• Improve and extend evaluation pipelines to test new models and determine lifts in specific parts of the product
• Build systems that allow fast iteration without compromising quality or reliability
• Partner with product and design to define patterns that make LLM powered sourcing intuitive and fast
• Translate ambiguous product goals into scalable technical designs that unblock new workflows for users
• Establish best practices for building AI-first UX patterns (agentic flows, async interactions, structured outputs)
• Mentor and guide engineers on the team raising the bar for system design, documentation, and technical decision making
• Drive clarity in cross-team architecture with Flow, Data, and Infra ensuring Sourcing evolves as a cohesive, maintainable system
• Set long term technical direction for how we build AI powered sourcing systems

Requirements

• 7-8+ years building distributed systems or large scale backend architecture
• Designed and scaled search, recommendation, or ranking systems that balance precision, recall, and performance
• Led or heavily contributed to ML or LLM integrations in production
• A track record of technical leadership mentoring others, introducing frameworks, and influencing technical direction
• Strong experience with data-intensive systems, asynchronous processing, or event-driven architectures

Qualifications

• 7-8+ years of experience building distributed systems or large scale backend architecture

Skills

* Required skills

Benefits