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# Staff Software Engineer

- **Company:** Harmonic Inc.
- **Location:** New York, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Architectural Patterns, Distributed Systems, Data Ingestion, Large Language Models, Event Driven Architecture, Build Tools
- **Published:** September 17, 2026
- **Apply:** https://www.dice.com/job-detail/18aaedd0-615b-404a-88a2-b7822c064399

## About the Role

* You have 7-8+ years of experience building distributed systems or large-scale backend architecture.
 * You've designed and scaled search, recommendation, or ranking systems that balance precision, recall, and performance.
 * You've led or heavily contributed to ML or LLM integrations in production.
 * You have a track record of technical leadership: mentoring others, introducing frameworks, and influencing technical direction.
 * You have strong experience with data-intensive systems, asynchronous processing, or event-driven architectures.

## Description

+ Own the end-to-end architecture of our sourcing engine, from data ingestion to ranking, personalization, and model orchestration.
 + Define scalable frameworks for retrieval, reranking, and LLM-driven evaluation to ensure we deliver highly personalized, high-quality results.
 + Create architectural patterns that integrate Scout seamlessly with our existing products to power repeatable sourcing workflows.
 * Lead agentic experimentation and evaluation.
 + Drive technical discovery for emerging technologies, including memory systems, schema, prompt libraries, embedding models, and agentic frameworks.
 + Improve and extend our evaluation pipelines to test new models and determine lift in specific parts of our product.
 + Build systems that allow fast iteration without compromising quality or reliability. Our priorities are reliability, performance, cost, and then developer productivity.
 * Shape AI-native product experiences.
 + 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 our users.
 + Establish best practices for building AI-first UX patterns, including agentic flows, async interactions, and structured outputs.
 * Provide architectural leadership across engineering.
 + 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.


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