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We're hiring a Junior Full Stack Automation Engineer who operates at the intersection of AI and production systems. You'll build, optimize, and scale AI-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 & Scale AI Communication Pipelines Classify inbound messages by category, intent, urgency, and tone Generate contextual responses using enrichment data Implement and tune human approval gates AI-Powered Sales Intelligence Transform raw enrichment data into structured pre-call briefs Generate backgrounds, pain hypotheses, talking points, and rapport hooks RAG System Maintain and improve the vector database with embeddings Implement markdown-aware chunking strategies Build async ingestion workers and semantic search APIs Trend Intelligence Engine Process RSS feeds, social media, video platforms, and search trends Generate reports, forecasts, and content drafts Run autonomously on scheduled jobs Content Quality Pipeline Extend the multi-agent system (outline → audit → generate) Maintain binary quality gates (PASS/FAIL with citations) Support multiple content formats across the pipeline Automated Lead Qualification Enrich leads with product data and market insights Build AI scoring and qualification grading systems Generate automated audit reports AI Executive Assistant 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 (re-ranking, chunking, 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 Required: Production LLM experience — Claude or OpenAI deployed in real, live systems RAG system 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 Lambda, Terraform, and Docker experience Available during Eastern Time business hours Strong Pluses: Multi-agent LLM systems and orchestration Anthropic Claude expertise (prompt engineering, tool use, system prompts) Vector search and embeddings (pgvector, Pinecone, or similar) Slack API and bot development Ad platform APIs (Meta, Google, LinkedIn) LLM observability — cost tracking, tracing, monitoring AI-assisted dev tools (Cursor, Claude Code, etc.) Benefits WHAT WE OFFER High-impact 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-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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.