Emberos

Emberos

Full-Stack Engineer (AI Product + Client Solutions)

Los Angeles

Sponsorship not specifiedDetected 30 days ago
TypeScriptReactNode.jsFull-Stack DevelopmentMachine LearningData ScienceLLMsAI OrchestrationA/B TestingDesign SystemsJiraSEOHubSpotPublic Speaking

About the role

  • Equally important, you're comfortable operating autonomously and taking full ownership from concept through deployment.
  • Analyze how optimizations at scale affect long-term LLM behavior and ecosystem dynamics
  • Compare and stress-test multiple optimization strategies simultaneously to surface the most effective approaches

Responsibilities

  • Build predictive optimization systems that model how specific content and strategy changes impact AI visibility outcomes
  • Design measurement and feedback loops that connect changes to outcomes and track predicted vs. actual lift over time
  • Implement scoring logic including Share-of-Prompt, accuracy measurement, sentiment analysis, and competitor mention detection
  • Build and maintain integrations with LLM platforms including ChatGPT, Claude, Grok, Perplexity, DeepSeek, and others as they emerge
  • Develop agent-based analysis workflows that evaluate multiple optimization scenarios in parallel and forecast impact
  • Develop high-quality frontend interfaces in React and TypeScript that translate complex graph and model outputs into actionable insights for users
  • Design and optimize backend systems for performance, security, and scalability
  • Build workflow and tracking infrastructure recording what changed, why it changed, and the outcome -- integrating with Jira, Slack, HubSpot, and email
  • Work closely with design and product to translate ideas into polished, production-ready experiences

Requirements

  • 5+ years of software engineering experience in fast-moving, high-performance environments
  • Strong full-stack engineering experience -- you have shipped real products end-to-end, not just maintained existing ones
  • With an ability to clearly explain technical architecture, AI methodology, and product decisions to non-technical stakeholders with confidence.
  • Deep hands-on experience with Neo4j and graph data modeling
  • Experience designing and working with scalable databases and APIs

Nice to have

  • Experience with applied data science, ML-adjacent systems, or experimentation frameworks
  • Background in AI search, recommendation systems, SEO-like ranking models, or similar
  • Practical agent orchestration experience - deterministic, evaluable, production flows
  • Familiarity with conversational commerce or AI-powered transactional flows
  • Experience working on creative or content-driven platforms
  • You move fast and finish things.
  • You are comfortable owning a feature from whiteboard to production, and you do not need someone to hand you a spec.
  • You get energy from variety.

Company info

  • Emberos exists to bring predictive intelligence and clarity to a world where AI is already shaping decisions.
  • We help brands understand how AI interprets and represents them at the moment of discovery and how that understanding compounds over time. By revealing emerging patterns before assumptions harden into belief, we give leaders foresight into what is taking shape and the ability to act early.
  • This is not just monitoring. It's predictive intelligence designed for an AI-mediated world.
  • As AI increasingly defines what people see, trust, and choose, Emberos serves as a grounding force for truth by bringing clarity to how meaning forms today and how it evolves tomorrow.
  • We're a small, fast-moving team building something foundational, and we're looking for people who want to shape what comes next.
  • We're looking for a Full-Stack Engineer, AI Product & Client Solutions who can truly own and ship product end-to-end across frontend, backend, and data layers without needing constant oversight.
  • You'll be responsible for architecting and delivering systems that power our Brand Knowledge Graph, building interfaces that make complex enterprise data intuitive, and developing the LLM orchestration layer so it runs efficiently and reliably at scale.
  • You can build it, explain it, demo it, and defend the technical decisions behind it, translating complex systems into clear narratives for clients without needing to be managed step-by-step.
  • BRAND KNOWLEDGE GRAPH + DATA SYSTEMS
  • We help brands understand how AI interprets and represents them at the moment of discovery and how that understanding compounds over time.
  • By revealing emerging patterns before assumptions harden into belief, we give leaders foresight into what is taking shape and the ability to act early.
  • This is not just monitoring.
  • It's predictive intelligence designed for an AI-mediated world.

Visa & Work Authorization

  • rtunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and veteran stat
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This listing is sourced directly from Emberos's careers page and normalized into a canonical job model.