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I will build production ready ai agents, rag chatbots and API integrations
Chirag Gupta
About this gig
Need more than a chatbot that simply sends prompts to an LLM?
I build production-ready AI agents that can understand your data, retrieve relevant knowledge through RAG, call tools & APIs, and integrate directly into your application.
6+ years software engineering experience 40+ reviews, 100% 5-star record
I can help you build:
- Custom AI agents & assistants
- RAG systems using your documents or data
- Vector search, embeddings & reranking
- Tool calling & external API integrations
- OpenAI, Claude & Gemini integrations
- LangChain / LangGraph workflows
- Pinecone, Chroma & vector databases
- Structured outputs & reliable AI workflows
- Guardrails, validation & human approval flows
- Backend and existing application integration
- Production deployment & debugging
I approach AI projects as a software engineer first focusing on reliability, maintainability and real-world production use, not just creating a working demo.
Have an existing AI project that's stuck? I can also debug, improve or productionize it.
Message me with your use case before ordering and I'll recommend the right architecture and package.
Get to know Chirag Gupta
Chirag Gupta
Full Stack and AI Engineer
- FromIndia
- Member sinceJul 2020
- Avg. response time1 hour
- Last delivery1 year
Languages
Hindi, English
Need a developer who can take ownership—not just complete tasks?
I help startups and businesses build, modernize and scale web, mobile and AI products from idea to production.
6+ years of experience • 40+ reviews • 100% 5-star record • Full-Stack + AI
Angular, React, React Native, Node.js, MongoDB, LLMs, RAG, AI agents, vector search, tool calling, LangGraph & MCP.
You get clean architecture, clear communication and production-ready work—not code that creates more problems later.
Building from scratch, upgrading a legacy app or adding AI? Send me your goal.
My Portfolio
Other AI Development Services I Offer
FAQ
What kind of AI agents can you build?
I can build custom agents for SaaS products, internal tools, knowledge assistants, research workflows, support systems, data processing and other use cases requiring RAG, tools or API integrations.
What is RAG and do I need it?
RAG allows an AI system to retrieve relevant information from your documents, database or knowledge base before generating an answer. It is useful when the AI needs access to private, business-specific or frequently changing information.
Which AI models do you work with?
I can integrate OpenAI, Claude, Gemini and other LLM providers depending on your requirements, cost constraints and architecture.
Can you integrate the AI agent into my existing application?
Yes. I can integrate AI functionality into existing web applications, SaaS products and Node.js/backend systems through APIs or directly into the application architecture.
Can you work on an existing AI or RAG project?
Yes. I can debug unreliable agents, poor RAG retrieval, broken integrations, incorrect tool calling, API problems and production issues.
Do you build simple chatbots?
Yes, when a chatbot is the right solution. However, this gig primarily focuses on more capable AI systems involving RAG, tools, APIs and application integrations.
Can you deploy the AI application?
Yes. Deployment can be included depending on the package and infrastructure requirements.
Do I need to provide API keys?
Usually yes for production integrations. You should provide your own API credentials securely. Never send sensitive production credentials in plain text when a safer access method is available.
