AI Full Stack Engineer

Job not on LinkedIn

🕒 March 24

🌐 United States, Brazil, +3 more countries – Remote

🇺🇸 United States – Remote 🇧🇷 Brazil – Remote 🇨🇴 Colombia – Remote 🇵🇰 Pakistan – Remote 🇵🇭 Philippines – Remote

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 65%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GigaBrands

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2022

📣 Marketing

🤖 Artificial Intelligence

🤝 B2B

Marketing • Artificial Intelligence • B2B

GigaBrands is a neuromarketing and AI-powered marketing agency that specializes in advertising services, particularly on platforms like Amazon. With a focus on leveraging advanced neuromarketing techniques and artificial intelligence, GigaBrands aims to transform online engagement into customer conversions, helping businesses reach new heights in their marketing efforts.

📋 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

🎯 Requirements

• 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.)

🏖️ Benefits

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