Senior Backend Engineer

- Architect AI-powered healthcare products using autonomous agents and AI automation & orchestration pipelines, enabling scalable, context-aware clinical workflows. - Engineer RAG-based enterprise applications integrating vector databases and LLM-driven retrieval, enabling sub-second semantic search over large knowledge bases. - Build production-grade browser automation & web crawling pipelines using Playwright, Selenium, crawl4ai, BeautifulSoup, extracting structured data from thousands of live sources.

• Led a team of 4 engineers shipping Agentic AI & Web3 products, driving technical roadmap decisions and complex feature delivery on schedule. • Architected LLM-powered workflows (GPT-4, Llama3) for advanced RAG systems, improving document retrieval relevance and enabling context-aware, intelligent agent behaviors across the platform. • Designed and implemented event-driven backend systems using queues and asynchronous processing to handle high-volume, real-time workflows efficiently across distributed services. • Built modular API integrations with external platforms including Slack, Twitter, Telegram, Discord, and Web3 services, connecting Python backends to real-world tools and SaaS APIs at scale. • Orchestrated automated background jobs for data synchronization, scheduled tasks, workflow automation, and system monitoring. • Decentralized dApp on AI Protocol for Ethereum and Base Chain aliagents.ai enabling users to launch, configure and monetize Agentic AI on-chain; built complete backend using Python, Django, DRF, Gen-AI, LLMs, and Web3.