Junior Full Stack Automation Engineer
我们正在聘请一名初级全堆自动化工程师，他在 AI 和生产系统的交叉点上工作。你将建立，优化和扩展整个 AI 驱动基础设施从 LLM 管道和 RAG 系统到仪表板和背景工人。这是一个高所有权角色。你不会得到门票。你会被交给并信任解决问题。你会建造什么& SCALE AI 通信管线 ·按类别，意图，紧迫性和音调进行归类 ·使用丰富数据生成文本回应 ·实现和调整人类批准口网址 · 将原始丰富数据转换为结构化的预电话简报 · 创建背景，痛苦假设，谈话点和关系格 RAG 系统 · 维护并改进嵌入式矢量数据库 · 实施标记意识的分块化策略 · 建立异步摄取工作人员和语义搜索 API 趋势智能引擎 ·处理 RSS 传输，社交媒体，视频平台和搜索趋势 ·生成报告，预测和内容草案 · 自主地在计划的工作上运行内容管道 ·扩大多代理系统 （概述 →审计 →产生）· 维持二元质量门口 （PASS/FAIL 与引用）·支持整个管道中多种内容格式自动资格领导 · 用产品数据和市场见解丰富领先者 · 建立 AI 评分和资格评级系统 ·生成自动审计报告 AI 执行助理 · 构建并维护 Slack 集成的运营 · 自动安排工作流程 · 自主地选择和响应电子邮件 · 为客户绩效了解构建和改进 AI 管道 ·提高 RAG 检索质量 （重新排名，零碎，混合搜索）· 在 LLM 使用管道中添加实时数据的工具/功能 · 调整分类错误并改善模型精度 ·优化 LLM 成本，延迟和性能 · 构造人工智能测量和监控仪表 · 增加可观察性和追踪到 AI 管道 · 扩大内容质量系统到新的格式和使用案例要求：· 生产 LLM 经验 Claude 或 OpenAI 部署在现实，现场系统 · RAG 系统经验 嵌入，检索，分化和文本处理 · 2年以上 TypeScript/Node.js · 2-3年构建端到端生产系统涵盖后端服务，人工智能管道和前端仪表板 · 本科学位
查看英文原文
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
Originally posted on Himalayas