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Fiverr Pro
English
$
USD
I will develop agentic ai, rag and fastapi backends
Vivek G
About this gig
Looking for more than a basic, hardcoded AI wrapper? You need autonomous intelligence.
I am a professional Software Engineer specializing in building production-grade Agentic AI systems, sophisticated Multi-Agent workflows, and enterprise-grade RAG pipelines backed by scalable FastAPI/Python backends. Whether you need a self-routing swarm of AI agents or an advanced semantic search engine that eliminates LLM hallucinations, I engineer architectures that execute complex business workflows flawlessly.
What I Build:
- Autonomous AI Agents: Multi-agent workflows, task routing, and custom tool orchestration using LangChain.
- Advanced RAG Pipelines: High-accuracy semantic search integrated with Pinecone to eliminate LLM hallucinations.
- Scalable Python Backends: High-performance, low-latency REST APIs engineered with FastAPI and Flask.
Why Choose Me?
I engineer production-grade AI applications and scalable backend systems. I focus on clean, optimized Python code built to solve complex business logic. You get a reliable developer who prioritizes low-latency architecture, thorough testing, and clear documentation.
Get to know Vivek G
Vivek G
Software Engineer
- FromIndia
- Member sinceMar 2025
- Avg. response time1 hour
Languages
English, Hindi
I am a Software Engineer with hands-on experience building production-grade Agentic AI systems, RAG pipelines, and multi-agent workflows. I specialize in autonomous agent design, tool orchestration, and scalable Python backends. I am a national hackathon winner and LeetCode Knight ranked in the top 2% globally.
FAQ
Question: What is an Agentic AI system and how does it work?
Answer: Unlike a basic chatbot, an Agentic AI system uses autonomous workflows where an AI can reason through multi-step tasks, automatically select and execute external tools, and handle complex business logic without constant human intervention.
Question: How do you handle my data and prevent AI hallucinations?
Answer: I build advanced Retrieval-Augmented Generation (RAG) pipelines using Pinecone vector databases. This securely grounds the LLM strictly within your private data and documentation, ensuring highly accurate search results and minimizing errors.
Question: Can you integrate the AI logic with my existing software?
Answer: Yes, absolutely. I build scalable Python backend architectures using FastAPI or Flask. This delivers robust REST APIs that allow the AI agent to connect seamlessly with your web application, database, or frontend.
