emberos

Full-Stack Engineer, AI Product, Client Solutions

emberos

full-time

Posted on:

Location Type: Hybrid

Location: Los Angeles • California • United States

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

JavaScriptNeo4jNode.jsReactTypeScript

About the role

  • Develop and extend our Brand Knowledge Graph in Neo4j: modeling how changes to one node propagate and affect AI visibility and recommendations elsewhere
  • 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
  • Analyze how optimizations at scale affect long-term LLM behavior and ecosystem dynamics
  • Build and maintain integrations with LLM platforms including ChatGPT, Claude, Grok, Perplexity, DeepSeek, and others as they emerge
  • Design orchestration systems that minimize unnecessary LLM calls: managing cost, latency, and quality tradeoffs intelligently
  • Develop agent-based analysis workflows that evaluate multiple optimization scenarios in parallel and forecast impact
  • Compare and stress-test multiple optimization strategies simultaneously to surface the most effective approaches
  • Build and ship full-stack features across frontend, backend, and data layers: from idea to production
  • 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
  • Lay foundations for AI-native commerce experiences where merchants can transact directly inside AI chat
  • Work closely with design and product to translate ideas into polished, production-ready experiences
  • Participate actively in client calls, demos, and technical conversations -- explaining systems clearly to non-technical enterprise stakeholders
  • Own QA processes and fix pack delivery: building test coverage, triaging bugs, and maintaining data integrity across the platform
  • Pull insights from complex datasets and translate them into findings that clients and internal teams can act on
  • Document architecture, decisions, and systems to support a growing team and future CTO onboarding

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
  • Comfortable operating in client-facing settings. 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
  • Practical experience integrating LLMs and building production-grade API integrations with AI platforms
  • Ability to design systems that avoid constant LLM calls and manage cost, latency, and quality tradeoffs
  • Proficient in React, TypeScript, Node.js, and modern frontend and backend frameworks
  • Experience designing and working with scalable databases and APIs
  • Clear, confident communicator who is energized by client interaction -- not just tolerant of it. With the ability to lead technical demos, respond to live client questions, and translate complex systems into clear business value narratives.
Benefits
  • Emberos is an equal opportunity employer committed to a diverse, equitable and inclusive work environment.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Neo4jgraph data modelingpredictive optimization systemssentiment analysisReactTypeScriptNode.jsAPI integrationsscalable databasesfull-stack engineering
Soft Skills
clear communicationclient-facing interactiontechnical explanationleadershipcollaborationproblem-solvingdocumentationQA processesdata integrityclient engagement