Software Engineer, AI Engineer, Software Architect

Harmonic is the startup discovery engine.

We’re growing revenue and building tools that help investors, corporate development, and GTM teams find breakout companies. We source data from multiple providers, turn it into structured insights, and enable scalable discovery and diligence workflows for venture and enterprise teams.

• 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 deliver highly personalized, high quality results.
  • Create architectural patterns that integrate Scout 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 measure lifts in specific parts of the product.
  • Build systems that enable fast iteration without compromising quality or reliability, prioritizing reliability, performance, cost, and 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 users.
  • Establish best practices for AI-first UX patterns (agentic flows, async interactions, structured outputs).
• Provide architectural leadership across engineering
  • Mentor engineers on the team to raise the bar for system design, documentation, and technical decision making.
  • Drive clarity in cross-team architecture with Flow, Data, and Infra to evolve Sourcing as a cohesive, maintainable system.
  • Set long term technical direction for how we build AI powered sourcing systems.

• 7-8+ years of experience building distributed systems or large-scale backend architecture.
• Designed and scaled search, recommendation, or ranking systems balancing 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.

$210-280k Salary + Equity depending on level

• Top of the line health, dental and vision insurance, with 100% premium covered
• 401k matching
• Free lunch in office
• Monthly team dinner for each office
• Commuter benefits

• Recruiter Screening: 20 mins
• Technical Screening (Debugging): 45 mins
• Technical Screening (System Design): 45 mins
• Jam Session: 2 hours
• Behavioral interviews with Head of Engineering and CEO: 30 mins each
• References