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I will build productionready ai agents with rag and llm integration
Johnvessly Alti
About this gig
Build Reliable AI Agents That Actually Solve Business Problems
Most AI demos work well during presentations but fail in production due to poor retrieval, hallucinations, slow responses, or unreliable integrations.
I build production-ready AI agents that are designed for real-world use. Whether you need an internal knowledge assistant, customer support automation, document search, or a custom AI workflow, I can help you build a reliable solution.
I can help you with
- Custom AI agents
- Retrieval-Augmented Generation (RAG)
- Document-based AI assistants
- LLM integration
- Prompt engineering
- Tool calling
- API integration
- Workflow automation
- Streaming responses
- Knowledge retrieval
- Performance optimization
- Deployment support
Why work with me?
- Production-focused engineering
- Clean and maintainable code
- Scalable architecture
- Fast communication
- Detailed documentation
- Long-term support
If you're unsure about your requirements, feel free to message me before placing an order.
Get to know Johnvessly Alti
Johnvessly Alti
AI Engineer
- FromIndia
- Member sinceMay 2022
Languages
English
I am a Backend Software Engineer focused on building scalable, production-grade systems. I specialize in designing high-performance APIs, distributed architectures, and hybrid SQL/NoSQL data models using Node.js, NestJS, PostgreSQL, MongoDB, and Redis.
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FAQ
What AI models do you support?
OpenAI, Anthropic, Google Gemini, and open-source models.
Can you build AI using my documents?
Yes. I can build AI systems that retrieve information from PDFs, documents, websites, and internal knowledge bases.
Do you deploy the application?
Yes. Deployment support can be included depending on your selected package.
Can you integrate my existing software?
Yes. I can integrate AI into existing web applications, APIs, CRMs, and internal tools.
Will you sign an NDA?
Yes.
Do you provide source code?
Yes. Full source code is included unless otherwise agreed.
