AI Full Stack Engineer

Emploi pas sur LinkedIn

🕒 il y a 4 mois

🌐 États-Unis, Brésil, +3 autres pays – Distant

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🤠 Texas – Distant

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⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of GigaBrands

GigaBrands

1 - 10 employés

Fondée en 2022

📣 Marketing

🤖 Intelligence artificielle

🤝 B2B

Marketing • Artificial Intelligence • B2B

Nous sommes une agence de marketing Amazon alimentée par le neuromarketing et l'intelligence artificielle. Propulsez votre entreprise vers de nouveaux sommets grâce aux stratégies avancées de neuromarketing et d'intelligence artificielle de GigaBrain Agency.

Description

• Classify inbound messages by category, intent, urgency, and tone • Generate contextual responses using enrichment data • Implement human approval gates • Transform raw enrichment data into structured pre-call briefs • Generate: background, pain hypotheses, talking points, rapport hooks • Process RSS feeds, social media, video platforms, and search trends • Generate reports, forecasts, and content drafts • Run autonomously on scheduled jobs • Multi-agent system (outline → audit → generate) • Binary quality gates (PASS/FAIL with citations) • Supports multiple content formats • Enrich leads with product data and market insights • AI scoring and qualification grading • Automated audit reports • Slack operations • Scheduling workflows • Email triage and follow-ups

🎯 Exigences

• Build AI pipelines for client performance insights • Improve RAG retrieval quality • Add tool use for real-time data in LLM pipelines • Debug classification errors in AI systems • Optimize LLM costs and performance • Build dashboards for AI metrics and usage • Add observability to pipelines • Expand content quality systems • Production LLM experience (Claude/OpenAI in real systems) • RAG system experience (embeddings, retrieval, chunking, context handling) • 3+ years TypeScript / Node.js • Strong React skills • PostgreSQL (queries, migrations, indexing) • API integrations (REST, OAuth, webhooks) • Linux server experience (SSH, logs, debugging, deployments) • Strong Pluses • Multi-agent LLM systems • Anthropic Claude expertise • Vector search / embeddings • Slack API experience • Ad platform APIs (Meta, Google, LinkedIn) • LLM observability (cost, tracing, monitoring) • Amazon / eCommerce experience • AI-assisted dev tools (Cursor, Claude Code, etc.)

🏖️ Avantages

• Competitive salary based on experience • High-impact role with strong ownership • Opportunity to scale cutting-edge AI systems to world-class level**

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