Browse categories
Explore
Fiverr Pro
English
$
USD
I will create efficient llm integrations and rag pipelines for your application
Bhavin G
About this gig
Need a working AI feature built into your product, not just a demo? I build production-grade LLM integrations and RAG pipelines designed for real-world traffic.
What I deliver:
- LLM Integration: OpenAI, Gemini, and other providers
- RAG Pipelines: Pinecone, Milvus, and vector databases for source-grounded responses
- AI Agents: LangChain & LangGraph for multi-step workflows
- Production Deployment: vLLM & TensorRT for speed and cost optimization
- API Integration: REST/GraphQL integration with your existing stack
Background:
8+ years building scalable backend and distributed systems, including 2+ years as a technical lead. Shipped AI features into products serving 10M+ users and led development of an AI-native content platform using RAG pipelines and LLM-based generation at scale.
Why work with me:
- Production-focused: Error handling, monitoring-ready code, and documentation
- Direct communication: No unnecessary hand-offs
- Clear scope: I'll review your use case and explain what it takes before you order
Send your use case or codebase, and I'll recommend the right approach before you commit to a package.
Get to know Bhavin G
Bhavin G
Senior AI Distributed Systems Engineer Technical Lead
- FromIndia
- Member sinceSep 2026
- Avg. response time1 hour
Languages
Hindi, English
I'm Bhavin. I've led AI and backend architecture on platforms running at 10M+ users across 5+ brand deployments, built real-time AI content systems, and shipped AI agent systems that automate lead scoring for an insurance provider.
If your AI works fine in a demo but hasn't been tested at real scale, that's the actual risk.
Stack: OpenAI, Gemini, QWEN, LangChain, LangGraph, RAG, vector DBs (Milvus, Pinecone), vLLM, TensorRT, Node.js, Kafka, Redis, AWS. 8+ years in distributed systems, 2+ years leading teams. Message me if you need AI that survives production.
Other AI Development Services I Offer
FAQ
What specific data will you need to start?
I’ll need your use case, existing codebase or API details, relevant documents/data, and access to required services or credentials when applicable.
What security measures are in place for data protection?
I follow secure development practices and can implement authentication, access controls, encrypted communication, and secure API handling based on your requirements.
Can you integrate an LLM into my existing application?
Yes. I can integrate OpenAI, Gemini, and other LLM providers into your existing application and backend.
Which vector databases do you work with for RAG?
I work with vector databases such as Pinecone and Milvus for building production-ready RAG pipelines.
