Junior Full Stack Automation Engineer

Job not on LinkedIn

🔥 6 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 and tune human approval gates • Transform raw enrichment data into structured pre-call briefs • Generate backgrounds, pain hypotheses, talking points, and rapport hooks • Maintain and improve the vector database with embeddings • Implement markdown-aware chunking strategies • Build async ingestion workers and semantic search APIs • Process RSS feeds, social media, video platforms, and search trends • Generate reports, forecasts, and content drafts • Run autonomously on scheduled jobs • Extend the multi-agent system from outline through audit and generation • Maintain binary quality gates with PASS/FAIL results and citations • Support multiple content formats across the pipeline • Enrich leads with product data and market insights • Build AI scoring and qualification grading systems • Generate automated audit reports • Build and maintain Slack-integrated operations • Automate scheduling workflows • Triage and respond to email autonomously • Build and improve AI pipelines for client performance insights • Improve RAG retrieval quality through re-ranking, chunking, and hybrid search • Add tool use/function calling for real-time data in LLM pipelines • Debug classification errors and improve model accuracy • Optimize LLM costs, latency, and performance • Build dashboards for AI metrics and usage monitoring • Add observability and tracing to AI pipelines • Expand content quality systems to new formats and use cases

🎯 Requirements

• Production LLM experience with Claude or OpenAI deployed in live systems • RAG system experience, including embeddings, retrieval, chunking, and context handling • 2+ years of TypeScript / Node.js experience • 2–3 years building end-to-end production systems spanning backend services, AI pipelines, and frontend dashboards • Bachelor's degree in Computer Science • Strong React skills in component architecture, state management, and performance • PostgreSQL experience with queries, migrations, indexing, and query optimisation • REST, OAuth, and webhook API integrations • Linux server experience with SSH, log analysis, debugging, and deployments • AWS Lambda, Terraform, and Docker experience • Availability during Eastern Time business hours • Strong plus: multi-agent LLM systems and orchestration • Strong plus: Anthropic Claude expertise, including prompt engineering, tool use, and system prompts • Strong plus: vector search and embeddings with pgvector, Pinecone, or similar • Strong plus: Slack API and bot development • Strong plus: Meta, Google, or LinkedIn ad platform APIs • Strong plus: LLM observability, including cost tracking, tracing, and monitoring • Strong plus: AI-assisted development tools such as Cursor and Claude Code

🏖️ Benefits

• High-impact role with genuine ownership over systems that matter • Full time remote role • Work directly on one of the most advanced AI-native business platforms in the Amazon space • A team that moves fast, thinks big, and holds a high bar • PTO after successfully completed probationary period