Senior Software Engineer (Artificial Intelligence)

About Veloxio Technologies At Veloxio Technologies, we build premium web applications and intelligent AI automation systems. We engineer custom architectures, robust web automation layers, and production-grade generative AI integrations for a diverse portfolio of clients. We are looking for a versatile, heavy-hitting Senior Software Developer who thrives at the intersection of modern web development and AI automation to own the engineering lifecycle of our client platforms. Key Responsibilities 1. Full-Stack Web Development (MERN) Design, build, and maintain robust, scalable backend architectures using Node.js, Express, and MongoDB. Develop premium, responsive, and highly optimized frontends using React.js. Implement efficient data caching, database indexing, and secure authentication flows (REST APIs, WebSockets, Redis). 2. AI Integration & Intelligent Workflows Integrate Advanced Language Models (OpenAI, Anthropic, or open-source LLMs) into core web applications. Use LLM orchestration frameworks (LangChain, LlamaIndex) or native APIs to build custom agents, structured data extractors, and prompt pipelines. Implement Vector Databases (e.g., Pinecone, Chroma) for semantic search and Retrieval-Augmented Generation (RAG). 3. Web Automation & Scraping Pipelines Build resilient, distributed web automation systems and scraping engines using tools like Puppeteer, Playwright, or Scrapy. Engineer intelligent systems capable of handling irregular data, dynamic web layouts, and anti-bot measures. Manage high-throughput, asynchronous operations using task queues and background workers (BullMQ, Celery, or cron jobs). Technical Requirements Experience: 3+ years of professional software development experience, ideally in an agency, fast-paced startup, or client-facing environment. Web Dev Stack: Complete mastery of JavaScript/TypeScript, Node.js, React.js, Express, and MongoDB. AI & Automation Tooling: Proven experience working with LLM APIs, prompt engineering, structured JSON outputs, and parsing complex unstructured data. Scraping Mastery: Deep expertise in headless browsers, managing proxies, and handling heavy data ingestion pipelines. Infrastructure: Experience with Docker, cloud deployments (AWS/GCP/Vercel), and setting up self-healing background workers. What We Look For The Agency Mindset: A developer who can look at a client's problem, figure out the right tech stack, and build a clean, production-grade system quickly. Problem Solvers: Someone who builds clean code with strong error-handling, especially when dealing with unpredictable AI outputs and external web data.