I will be generative ai ml llm engineer ai agent ai chatbot python full stack developer


Level 2
2 ordini in coda
Informazioni su questo servizio
I'm a USA-based Senior AI/ML and LLM Engineer with 9+ years building AI chatbots, RAG systems, and LLM SaaS platforms.
I build production-ready AI systems RAG pipelines, AI agents, and custom chatbots using Python, LangChain, and LlamaIndex.
I ground LLMs in your own data (PDFs, databases, APIs) so responses are accurate, not hallucinated, and I build multi-step agents that can search, calculate, and act on real tasks using Python, LangChain, and LlamaIndex.
What you get:
- Custom RAG systems built on your documents or database, with vector search (Pinecone, Chroma, Weaviate)
- AI agents with tool-use browsing, calculations, API calls, multi-step reasoning
- Full-stack AI applications, from FastAPI backend to deployed frontend
- Prompt engineering and fine-tuning for better accuracy and lower token cost
- Secure API endpoints and cloud deployment (Docker, AWS, GCP)
Why work with me:
- Clean, production-grade Python and LLM code, not notebook prototypes
- Deep hands-on experience with LangChain and LlamaIndex
- On-time delivery, every time
Send me your use case and I'll tell you honestly whether RAG, a fine-tune, or a simple prompt fix is the right call before
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Top Notch Developer: React I Node I WordPress I Shopify I GenAI LLM ML
Level 2
- DaStati Uniti
- Membro dadic 2021
- Tempo di risposta medio1 ora
- Ultima consegna1 settimana
Lingue
Italiano, Norvegese, Arabo, Olandese, Francese, Svedese, Danese, Giapponese, Cinese, Inglese, Tedesco, Spagnolo
Altri servizi della categoria Sviluppo di software offerti da me
FAQ
Q: What do I need to get started?
A: You’ll need your OpenAI (or others) API key, and any documents or knowledge base if you want retrieval (PDFs, text, URLs, etc.). I’ll handle setup and integration.
Q: What technologies do you use for the full stack?
I specialize in the modern, scalable stack: Python with FastAPI for the backend, LangChain/LlamaIndex for LLM orchestration, and Next.js/React for the frontend (AI Website). Everything is containerized with Docker for easy deployment.
Q: What is the difference between a simple chatbot and an AI Agent?
A: simple chatbot only answers based on pre-set knowledge. An AI Agent is much more powerful; it can reason, plan, and use tools (like fetching live data or performing calculations) to complete complex, multi-step tasks.
Q: Why do I need a RAG system if I'm using GPT-4?
A: Even the best LLMs have knowledge cut-offs and cannot access your private or proprietary data. A RAG system is essential because it grounds the LLM in your documents, guaranteeing accurate, company-specific answers and eliminating factual errors (hallucinations).
Q: What kind of data can your RAG system work with?
My RAG systems can index and retrieve information from almost any data source, including PDFs, CSVs, Excel, websites (sitemap/crawled data), Notion, databases
Q: Do you also design the UI/UX?
A: Absolutely — I can design a modern, minimal UI or integrate it into your existing website/app.
Q: Can the AI use my company data for answers?
A: Yes. That’s what RAG (Retrieval-Augmented Generation) does — it lets your AI reference your own documents securely.
Q: Can you deploy the system for me?
A: Yes! I’ll deploy your chatbot or full-stack app to Vercel, Render, or AWS and ensure it’s live and accessible.
Q: I'm not sure what I need. Can you help?
A: Absolutely. Message me with your business goal and the data you have. We can discuss your project in detail and define the most effective LLM SaaS platform architecture to meet your needs.
