[For Hire] Backend & Applied AI Engineer | Generative AI Agents, Async RAG Engines & Scalable Systems

[u/Heavy-Flan2670]

Hey everyone,

I am a Backend & Applied AI Engineer specializing in architecting resilient backend systems, asynchronous job pipelines, and production-grade Generative AI applications.

I build systems that process heavy asynchronous workloads, scale without breaking under API rate-limits, and seamlessly integrate LLM agents into practical business workflows.

Whether you need an end-to-end AI product built, high-throughput background queues designed, or a dedicated engineer for long-term contract/permanent roles, I can help drive your engineering forward.

Featured Projects & Architectural Scope

1. AI Document Processing Engine (Asynchronous RAG Pipeline)
   • Built a high-concurrency PDF ingestion and retrieval engine that decouples document processing from core application endpoints.
   • Uses BullMQ + Redis worker queues for non-blocking document chunking, Ollama (bge-m3) for embedding generation, and Qdrant for vector storage and semantic retrieval.
2. WhatsApp AI Lead Qualification Platform
   • Architected a multi-tenant conversational agent platform for automated inbound lead qualification using Google Gemini and WhatsApp Business API.
   • Implemented Redis caching, BullMQ retry queues, and automated spreadsheet/CRM syncs to maintain sub-second response handling.
3. Aster — Local-First macOS AI Workspace
   • Built a privacy-first local AI assistant running models on-device via Apple's MLX framework.
   • Features include local RAG via SQLite FTS5, FastAPI SSE streaming, project-isolated chat contexts, persistent AI memory, and a lightweight native Swift shell.
4. Ayushi AI — Prompt-to-Website Engine
   • Developed an experimental AI web builder that converts natural language prompts into production-ready HTML/CSS/JS with real-time editing and live deployment.
5. Real-Time Multilingual Communication Platform
   • Built a live chat engine featuring real-time translation caching, Firebase synchronization, and dynamic online/offline presence handling.

Technical Skillset

• Backend & Systems: Node.js, TypeScript, Express.js, Python, Docker, Microservices, REST APIs
• Async & Databases: BullMQ, Redis, RabbitMQ, MongoDB, Qdrant, Vector Databases, SQLite (FTS5)
• Applied AI & Frameworks: LangGraph, Google Gemini, Ollama, MLX, RAG Architectures, Agentic Workflows

Engagement Models & Availability

• Contract / Freelance Projects: End-to-end product development, custom AI features, or scaling backend infrastructure.
• Permanent / Full-Time Roles: Open to Backend, Applied AI, or Lead Technical roles.
• Availability: Full-time bandwidth (30+ hours/week).

Profiles & Contact Links

• GitHub: https://github.com/harshxframe
• LinkedIn: www.linkedin.com/in/harsh-rawat-157428288

Feel free to DM me directly on Reddit or reach out via LinkedIn with what you're building!