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# Staff Software Engineer

- **Company:** Harmonic Inc.
- **Location:** New York, United States
- **Experience:** Expert
- **Salary:** $210,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Architectural Patterns, Distributed Systems, Data Ingestion, Large Language Models, Event Driven Architecture, Build Tools
- **Published:** July 17, 2026
- **Apply:** https://www.dice.com/job-detail/0880ea9c-8ebd-43eb-9e3d-df66660a9f8a

## About the Role

* 7-8+ YoE 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.

## Description

Scope of the role:

 * Architect the core intelligence behind Scout
 + Own the end to end architecture of our sourcing engine from data ingestion, ranking, personalization, and model orchestration.
 + Define scalable frameworks for retrieval, reranking, and LLM driven evaluation to ensure we deliver highly personalized and 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 (e.g. memory systems, schema, prompt libraries, embedding models, and agentic frameworks).
 + Improve and extend our evaluation pipelines to test new models and determine lifts 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 (agentic flows, async interactions, 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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