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Fiverr Pro
English
$
USD
I will be your software ai developer for rag, ai agents, chatbot and llm apps
Alex A.
Level 2
About this gig
Struggling with basic AI chatbots that hallucinate and can't take real action ?
I engineer custom AI Agents and production RAG pipelines using LangChain and LangGraph that solve complex business tasks 24/7 without breaking.
No templates, no copy-paste solutions.
What I Build For You:
- Enterprise RAG Systems: Query private PDFs, SQL databases, manuals & internal knowledge with source citations
- Multi-Agent Networks (LangGraph / CrewAI): Coordinated agents that research, draft, analyze & execute tasks
- Tool Calling & Integrations: Give LLMs hands to execute API calls, update CRMs, send emails & run code
- Customer & Sales AI: Conversational bots with memory, session handling & human-in-the-loop escalation
- Secure Deployment: FastAPI backends, Docker containers, Streamlit dashboards & LangSmith tracing
Why Me?
- 6+ years experience
- Production-grade architecture (no brittle prototypes)
- 100% private & secure data handling
- Full code handover & video walkthrough
Click "Contact Me" describing your idea.
I will send back a FREE custom architecture breakdown of how we should build it.
Get to know Alex A.
Alex A.
AI Automation Engineer, n8n, AI Agents, GHL
Level 2
- FromBulgaria
- Member sinceApr 2023
- Avg. response time2 hours
- Last deliveryabout 10 hours
Languages
English
With 6+ years supporting 99.99% uptime systems for global firms like Vodafone, Siemens Energy, Uber, Visa & more. I bring enterprise reliability to business automation.
Recent Results: leads answered in under 60 seconds, research reports in 30 seconds instead of 90 minutes, 20+ hours saved weekly.
Hi, I'm Alex, founder of Lexmation, I build custom AI agents, n8n workflows, CRM automations and APIs with with reliability, error handling and maintainability in mind.
From quick wins to production-ready systems.
Tell me what you're doing manually today and I'll show you how to automate it !
My Portfolio
FAQ
What is the advantage of LangChain and LangGraph over standard chatbots ?
Standard bots only generate text. LangChain and LangGraph give LLMs memory, persistent state, API connectivity and the ability to execute complex workflows, search live data, and take real actions.
What is the difference between LangChain and LangGraph ?
LangChain chains sequential LLM steps, while LangGraph manages cyclic, stateful multi-agent workflows with decision trees, loops, and human-in-the-loop approvals for complex tasks.
Do I need to provide my own API keys ?
Yes, you need your own LLM API keys (OpenAI, Anthropic Claude, Groq) and Vector DB credentials (Pinecone, Chroma). I will guide you step-by-step on how to generate and securely configure them.
How do you eliminate hallucinations in RAG systems ?
I use optimized chunking, re-ranking, source attribution, and strict guardrails. The agent only answers based on verified context from your private documents, citing exact sources.
Is my proprietary company data safe and private ?
Absolutely. Your data is processed exclusively through enterprise APIs with zero-data-retention policies and is never used to train public models. Everything stays in your private environment.
Can you connect the AI agent to my database or CRM ?
Yes. I build custom tool-calling integrations for SQL databases (PostgreSQL, MySQL), HubSpot, Salesforce, Airtable, Notion, Google Sheets, or any system with a REST or Webhook API.
How and where will the AI agent be deployed ?
I can deploy your agent via Docker containers, AWS, GCP, or DigitalOcean, with a FastAPI backend and a clean web UI (Streamlit / Chainlit) or embed it directly into your existing app.
Do you support Multi-Agent systems with CrewAI or LangGraph ?
Yes! I build specialized multi-agent networks where dedicated agents (e.g. Researcher, Data Analyst, Copywriter, Reviewer) collaborate seamlessly to complete complex business processes
What happens after delivery? Do I get support and documentation ?
Every project includes clean, well-documented code, environment setup instructions, and a personalized video walkthrough showing you exactly how to run and maintain the system.
Can we start with a small Proof of Concept (POC) ?
Definitely. The Basic Package is designed specifically to build a working prototype on your data so you can test the architecture and validate results before scaling up.
