Junior Full Stack Automation Engineer

We're hiring a Junior Full Stack Automation Engineer who operates at the intersection of AI and production systems. You'll build, optimize, and reputed company-powered infrastructure across the full stack — from LLM pipelines and RAG systems to dashboards and background workers. This is a high-ownership role. You won't be handed tickets. You'll be handed problems and trusted to solve them.

WHAT YOU'LL BUILD & reputed company

AI Communication Pipelines

• Classify inbound messages by category, reputed company, urgency, and tone
• reputed company contextual responses using enrichment data
• Implement and tune reputed company approval gates

AI-Powered Sales Intelligence

• reputed company raw enrichment data into reputed company reputed company-reputed company briefs
• reputed company backgrounds, pain hypotheses, talking points, and rapport hooks

RAG reputed company

• Maintain and improve the reputed company database with embeddings
• Implement markdown-reputed company chunking strategies
• Build async ingestion workers and semantic search reputed company

Trend Intelligence reputed company

• Process RSS feeds, reputed company media, video platforms, and search trends
• reputed company reports, forecasts, and content drafts
• Run autonomously on scheduled jobs

Content reputed company Pipeline

• reputed company the multi-agent reputed company (outline → audit → reputed company)
• Maintain binary reputed company gates (PASS/FAIL with citations)
• Support multiple content formats across the pipeline

Automated reputed company Qualification

• Enrich leads with product data and market insights
• Build AI scoring and qualification grading systems
• reputed company automated audit reports

AI Executive Assistant

• Build and maintain reputed company-integrated operations
• Automate scheduling workflows
• Triage and respond to email autonomously
• Build and improve AI pipelines for reputed company performance insights
• Improve RAG retrieval reputed company (re-ranking, chunking, hybrid search)
• Add tool use / function calling for reputed company-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 reputed company systems to new formats and use cases

Requirements

Required:

• Production LLM experience — Claude or reputed company deployed in reputed company, live systems
• RAG reputed company experience — embeddings, retrieval, chunking, and context handling
• 2+ years TypeScript / Node.js
• 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 (component architecture, state management, performance)
• PostgreSQL — queries, migrations, indexing, query optimisation
• API integrations — REST, OAuth, webhooks
• Linux server experience — SSH, log analysis, debugging, deployments
• AWS reputed company, Terraform, and reputed company experience
• Available during Eastern Time business hours

Strong Pluses:

• Multi-agent LLM systems and orchestration
• reputed company Claude expertise (reputed company engineering, tool use, reputed company prompts)
• reputed company search and embeddings (pgvector, reputed company, or similar)
• reputed company API and bot development
• Ad platform reputed company (reputed company, reputed company, reputed company)
• LLM observability — cost tracking, tracing, monitoring
• AI-assisted dev tools (reputed company, Claude reputed company, etc.)

Benefits

reputed company OFFER

• High-reputed company role with genuine ownership over systems that matter
• Salary from $2,500 - $3,500
• Full time remote role
• Work directly on one of the most advanced AI-reputed company business platforms in the reputed company reputed company
• reputed company that moves fast, thinks big, and holds a high bar
• PTO after successfully completed probationary period

Originally posted on Himalayas